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Journal articles on the topic 'Navigation models'
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Greenwood, Narcessa Gail-Rosales, Cynthia B. Taniguchi, Amy Sheldrick, and Leslie Hurley. "Navigation models in diverse outpatient settings: Shared themes, challenges, and opportunities." Journal of Clinical Oncology 36, no. 30_suppl (October 20, 2018): 134. http://dx.doi.org/10.1200/jco.2018.36.30_suppl.134.
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134 Background: Navigation has been recognized by the Centers for Medicare and Medicaid Services (CMS) as a component of quality oncology care. This discussion highlights progress of Nurse Navigation implementation within 3 US Oncology Network practices. A team-based approach optimizing patient care coordination and providing enhanced services has been identified. Study practices demonstrate common navigation goals and desired outcomes, despite variations in practice size, dissimilar workflows, and unclear best-practice guidelines for navigation in the outpatient setting. Methods: The US Oncology Network formed a committee to study and develop evidence-based nurse navigation processes for recommendation to the greater Network. The committee includes 6 members, each a lead Oncology Nurse Navigator, practicing in different US geographical regions. Preliminary steps were to seek evidence-based support through: Existing models for Oncology Nurse Navigation that are adaptable for the community setting Best-practice in navigation recommendations from esteemed professional organizations Challenges and solutions identified and implemented Scope of practice for the Nurse Navigator in a community setting Performance metrics targeting effective, value-driven navigation Results: Focusing on scientific Nursing Process, study practices provided navigation services to 3762 patients. Gaps in navigation processes were identified, as well as barriers throughout the continuum of care. Scope of Practice for the community-based Nurse Navigator was defined. Navigation framework was established to include patient/family education, psychosocial interventions, referral outsourcing, and patient advocacy. A formal job description was created for the role of the Oncology Nurse Navigator. The Interdisciplinary Care Team Conference Standard was finalized to support coordination of care. Conclusions: Work remains to define, implement, and test effective navigational models to support challenges of patients receiving care in the outpatient setting. Benefits resulting from Nurse Navigation processes are emerging as healthcare trends advance quality of care while decreasing total cost of care.
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Cao, Caroline G. L., and Paul Milgram. "Direction and Location Are Not Sufficient for Navigating in Nonrigid Environments: An Empirical Study in Augmented Reality." Presence: Teleoperators and Virtual Environments 16, no. 6 (December 1, 2007): 584–602. http://dx.doi.org/10.1162/pres.16.6.584.
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Nonrigid environments, such as the human colon, present unique challenges in maintaining spatial orientation during navigation. This paper presents a design concept for presenting spatial information in an augmented reality (AR) display, together with results of an experiment conducted to evaluate the relative usefulness of three types of spatial information for supporting navigation and spatial orientation in a nonrigid environment. Sixteen untrained subjects performed a simulated colonoscopy procedure, using rigid and nonrigid colon models and six different AR displays comprising various combinations of direction, location, and shape information related to the scope inside the colon. Results showed that, unlike navigating in rigid environments, subjects took 44% longer to navigate the nonrigid environment and were less efficient, and suggested that it may be useful to train aspiring endoscopists in an equivalent rigid environment initially. A navigational aid presenting shape information was more beneficial than location or direction information for navigating in the nonrigid environment. Even though the AR navigational aid display did not speed up travel time, navigation efficiency and confidence in direction and location judgment for all subjects were improved. Subjectively, subjects preferred having shape information, in addition to position and direction information, in the navigational aid.
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Bodas Gallego, Alberto. "Modern Solar Navigation Techniques." Groundings Undergraduate 14 (April 1, 2023): 29–50. http://dx.doi.org/10.36399/groundingsug.14.143.
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Navigation by sea has proven difficult due to the absence of distinct markers for guidance. One solution for longer journeys was to track the position of celestial bodies as a navigational method, which has become more reliable as mathematical models improved over time. This essay aims to explore the mathematical methods behind modern solar navigation techniques and illustrate how these models are highly useful to describe and predict real-life scenarios.
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Nosov, P. S., I. V. Palamarchuk, S. M. Zinchenko, Ya A. Nahrybelnyi, I. S. Popovych, and ,. H. V. Nosova. "Development of means for experimental identification of navigator attention in ergatic systems of maritime transport." Bulletin of the Karaganda University. "Physics" Series 97, no. 1 (March 30, 2020): 58–69. http://dx.doi.org/10.31489/2020ph1/58-69.
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The article discusses the issues of identification of models of analysis of the navigational situation by the navigator during the passage in narrow places and port areas; this is especially relevant in critical situations. As part of the research, an analysis of literary sources was carried out, which made it possible to characterize this direction as actual for the development of special means of an experimental nature. As the main goal, the article presents formal-logical approaches to the development of software and hardware means for determining the areas of attention of the navigator as a subject of an ergatic system. A mechanism was determined for the formation the indexes of the analytical activities of the navigator during assessing the situation, mathematical models, and means for clarifying the position of the navigator on the navigation bridge. A geometric approximation of indexes was proposed, the metric of which can significantly reduce the identification time of critical situations and prevent negative consequences. The carried experiments by using the certified navigation simulator Navi Trainer 5000 confirmed the effectiveness and practical value of the proposed approaches, which will greatly improve the retraining of marine crew.
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Levchenko, O. "A METHOD FOR FORMALIZING THE DECISION-MAKING PROCESS FOR PREVENTING DANGEROUS SITUATIONS IN THE E-NAVIGATION SYSTEM." Shipping & Navigation 34, no. 1 (May 5, 2023): 115–26. http://dx.doi.org/10.31653/2306-5761.34.2023.115-126.
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The study aims to improve the safety of ship traffic by improving the methods of formalizing the decision-making process for preventing dangerous situations in a single e-navigation concept. The goal is achieved by a clear statement of the problem and the choice of appropriate approaches to its solution. The main stages of the decision-making cycle performed by the navigator in collision prevention are analysed. Particular attention is paid to the operations performed at the decisionmaking stage on the further movement of the vessel. The ship's movement plan is described by models of elementary behaviour, each of which consists of elementary actions represented by a set of fuzzy logic rules for performing a certain subtask. The structure of a system that implements the behavioural approach to decision-making by a navigator is proposed. Emphasis is placed on the need to coordinate vessels when deciding to plan a route based on models of elementary behaviours, and a method for coordinating the planning of the vessel's trajectory is developed. The sequence of stages of the method for coordinating the planning of the ship's trajectory is performed cyclically until the target point of the route is reached. At each stage of the vessel's movement, the navigation obstacles and other vessels entering the area of interest of the navigator are monitored and potential hazards from them are identified. A method for tracing the vessel's movement and existing vessels in the navigator’s interest area has been developed, which allows for predicting the location at subsequent moments and identifying the coordinates of the conflict site where a situation of dangerous proximity occurs. To formalize the areas dangerous for vessel traffic, a method for generating a map of navigational hazards and conflict situations in the navigator’s interest area has been developed, based on a modified method of potential fields. To formally describe the space, only the concept of a potential function is used to represent the space as a matrix of values. The most significant scientific result is the proposed approach to solving the problem of supporting the decision-making of a navigator based on a combination of methods using fuzzy logic and allowed domains, which allows obtaining options for actions that ensure the safety of ship movement in a dangerous situation. Keywords: ship, navigator, collision, navigation situation, navigation systems, e-navigation, tracing method, navigation hazard, navigation hazard map
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Zhou, Gengze, Yicong Hong, and Qi Wu. "NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language Models." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 7 (March 24, 2024): 7641–49. http://dx.doi.org/10.1609/aaai.v38i7.28597.
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Trained with an unprecedented scale of data, large language models (LLMs) like ChatGPT and GPT-4 exhibit the emergence of significant reasoning abilities from model scaling. Such a trend underscored the potential of training LLMs with unlimited language data, advancing the development of a universal embodied agent. In this work, we introduce the NavGPT, a purely LLM-based instruction-following navigation agent, to reveal the reasoning capability of GPT models in complex embodied scenes by performing zero-shot sequential action prediction for vision-and-language navigation (VLN). At each step, NavGPT takes the textual descriptions of visual observations, navigation history, and future explorable directions as inputs to reason the agent's current status, and makes the decision to approach the target. Through comprehensive experiments, we demonstrate NavGPT can explicitly perform high-level planning for navigation, including decomposing instruction into sub-goals, integrating commonsense knowledge relevant to navigation task resolution, identifying landmarks from observed scenes, tracking navigation progress, and adapting to exceptions with plan adjustment. Furthermore, we show that LLMs is capable of generating high-quality navigational instructions from observations and actions along a path, as well as drawing accurate top-down metric trajectory given the agent's navigation history. Despite the performance of using NavGPT to zero-shot R2R tasks still falling short of trained models, we suggest adapting multi-modality inputs for LLMs to use as visual navigation agents and applying the explicit reasoning of LLMs to benefit learning-based models. Code is available at: https://github.com/GengzeZhou/NavGPT.
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Berdahl, Andrew M., Albert B. Kao, Andrea Flack, Peter A. H. Westley, Edward A. Codling, Iain D. Couzin, Anthony I. Dell, and Dora Biro. "Collective animal navigation and migratory culture: from theoretical models to empirical evidence." Philosophical Transactions of the Royal Society B: Biological Sciences 373, no. 1746 (March 26, 2018): 20170009. http://dx.doi.org/10.1098/rstb.2017.0009.
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Animals often travel in groups, and their navigational decisions can be influenced by social interactions. Both theory and empirical observations suggest that such collective navigation can result in individuals improving their ability to find their way and could be one of the key benefits of sociality for these species. Here, we provide an overview of the potential mechanisms underlying collective navigation, review the known, and supposed, empirical evidence for such behaviour and highlight interesting directions for future research. We further explore how both social and collective learning during group navigation could lead to the accumulation of knowledge at the population level, resulting in the emergence of migratory culture. This article is part of the theme issue ‘Collective movement ecology’.
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Palamarchuk, I. V. "MODELING THE DIVERGENCE OF SHIPS IN THE DECISION SUPPORT SYSTEM OF THE NAVIGATOR." Scientific Bulletin Kherson State Maritime Academy 1, no. 22 (2020): 45–53. http://dx.doi.org/10.33815/2313-4763.2020.1.22.045-053.
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The aim of the study is to develop modern conceptual approaches to the construction of decision support systems in navigation, to determine the theoretical and practical foundations for creating such systems and priority ways of their practical implementation. From the analysis of recent publications, it has been revealed that the widespread use of new information technologies and modern technical means of navigation leads to an increase in the detail of the present navigation situation, but at the same time its assessment becomes more complicated and the time available to the navigator for analysis and development of the necessary control decision is reduced. For this reason, the development of decision support systems (DSS) for the navigator, which use new meaningful models of the hazard identification process for navigating a ship in the event of prerequisites for an emergency, is an urgent task of the present time. The creation of such systems will reduce the negative impact of the human factor on the processes of ship traffic control. The article develops theoretical and practical foundations for constructing a DSS for a navigator, taking into account the peculiarities of the movement of ships, the process of human interaction with technical means of navigation. The article develops theoretical and practical foundations for constructing a DSS for a navigator, taking into account the peculiarities of the movement of ships, the process of human interaction with technical means of navigation. New mathematical models of control over the process of divergence of ships are proposed. The classification of ships according to the degree of danger is carried out, depending on the change in the angle of the line of their relative movement. Criteria for a quantitative assessment of the hazard level of a ships based on the analysis of changes in the angle of the line of its relative motion are presented. The results obtained are the basis for further increasing the efficiency of the functioning of the ergatic system «man - technical means of navigation» and the comprehensive implementation of the achievements of new information technologies in the ship control processes.
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Freeman, Robin, and Dora Biro. "Modelling Group Navigation: Dominance and Democracy in Homing Pigeons." Journal of Navigation 62, no. 1 (December 22, 2008): 33–40. http://dx.doi.org/10.1017/s0373463308005080.
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During group navigation the information shared by group members may be complex, heterogeneous and may vary over time. Nevertheless, modelling approaches have demonstrated that even relatively simple interactions between individuals can produce complex collective outcomes. In such models each individual follows the same simple set of local rules, giving rise to differential outcomes of the navigational decision-making process depending on various parameters. However, inherent heterogeneity within groups means that some group members may emerge as more influential than others in navigational tasks and this underlying social structure may affect the ability of the group at large. Here, we present our preliminary modelling of group navigation specifically developed to include internal group structure. Building on existing models and recent experimental results we examine the role of individual influence on group navigation and its effects on group navigational ability.
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Jindal, Honey, and Neetu Sardana. "An Empirical Analysis of Web Navigation Prediction Techniques." Journal of Cases on Information Technology 19, no. 1 (January 2017): 1–14. http://dx.doi.org/10.4018/jcit.2017010101.
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With the advancement of Information Technology, web is growing rapidly and it has became necessary part of our daily lives. It is mandate to study the navigation behavior of the user to improve the quality of web site design for personalization and further recommendation. Analysis of web navigation behavior heavily relies on navigational models. This paper is an effort to give insights of current state-of-the-art techniques used for web navigation prediction. These navigation models are broadly classified into three categories: sequential mining, classification and clustering. Analytical analysis is performed on all the categories used in web navigation prediction. Further empirical analysis is performed on popular techniques of each category Markov Model (sequential mining), Support vector machine (classification) and K-means (clustering) on the common platform to measure the effectiveness of these techniques.
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Burlet, Julien, Thierry Fraichard, and Olivier Aycard. "Robust Navigation using Markov Models." International Journal of Advanced Robotic Systems 5, no. 2 (January 2008): 15. http://dx.doi.org/10.5772/10691.
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Gorte, B., S. Zlatanova, and F. Fadli. "NAVIGATION IN INDOOR VOXEL MODELS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W5 (May 29, 2019): 279–83. http://dx.doi.org/10.5194/isprs-annals-iv-2-w5-279-2019.
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<p><strong>Abstract.</strong> The paper proposes to use voxel models of building interiors to perform indoor navigation. The algorithms can be purely geometrical, not relying on semantic information about different building elements, such as floors, walls, stairways etc. Therefore, it is possible to use voxel models from different data sources, in addition to vector-to-raster conversions. The paper demonstrates this on the basis of tree different input types: hand measurements, point clouds and images of floorplans. On the basis of these models, the paper shows how to determine the navigable space in a voxel model for a pedestrian actor, and how to compute paths from arbitrary sources to specified destinations.</p>
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Milford, Michael, and Ruth Schulz. "Principles of goal-directed spatial robot navigation in biomimetic models." Philosophical Transactions of the Royal Society B: Biological Sciences 369, no. 1655 (November 5, 2014): 20130484. http://dx.doi.org/10.1098/rstb.2013.0484.
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Mobile robots and animals alike must effectively navigate their environments in order to achieve their goals. For animals goal-directed navigation facilitates finding food, seeking shelter or migration; similarly robots perform goal-directed navigation to find a charging station, get out of the rain or guide a person to a destination. This similarity in tasks extends to the environment as well; increasingly, mobile robots are operating in the same underwater, ground and aerial environments that animals do. Yet despite these similarities, goal-directed navigation research in robotics and biology has proceeded largely in parallel, linked only by a small amount of interdisciplinary research spanning both areas. Most state-of-the-art robotic navigation systems employ a range of sensors, world representations and navigation algorithms that seem far removed from what we know of how animals navigate; their navigation systems are shaped by key principles of navigation in ‘real-world’ environments including dealing with uncertainty in sensing, landmark observation and world modelling. By contrast, biomimetic animal navigation models produce plausible animal navigation behaviour in a range of laboratory experimental navigation paradigms, typically without addressing many of these robotic navigation principles. In this paper, we attempt to link robotics and biology by reviewing the current state of the art in conventional and biomimetic goal-directed navigation models, focusing on the key principles of goal-oriented robotic navigation and the extent to which these principles have been adapted by biomimetic navigation models and why.
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Taube, Jeffrey S., Stephane Valerio, and Ryan M. Yoder. "Is Navigation in Virtual Reality with fMRI Really Navigation?" Journal of Cognitive Neuroscience 25, no. 7 (July 2013): 1008–19. http://dx.doi.org/10.1162/jocn_a_00386.
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Identifying the neural mechanisms underlying spatial orientation and navigation has long posed a challenge for researchers. Multiple approaches incorporating a variety of techniques and animal models have been used to address this issue. More recently, virtual navigation has become a popular tool for understanding navigational processes. Although combining this technique with functional imaging can provide important information on many aspects of spatial navigation, it is important to recognize some of the limitations these techniques have for gaining a complete understanding of the neural mechanisms of navigation. Foremost among these is that, when participants perform a virtual navigation task in a scanner, they are lying motionless in a supine position while viewing a video monitor. Here, we provide evidence that spatial orientation and navigation rely to a large extent on locomotion and its accompanying activation of motor, vestibular, and proprioceptive systems. Researchers should therefore consider the impact on the absence of these motion-based systems when interpreting virtual navigation/functional imaging experiments to achieve a more accurate understanding of the mechanisms underlying navigation.
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Wang, Wei, Cheng Cai Lv, and Xin Li. "Assessment Models and Rules of GNSS Interoperability." Advanced Materials Research 846-847 (November 2013): 808–11. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.808.
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Global Navigation Satellite System (GNSS) interoperability could make use of the information from different navigation satellite systems. To estimate GNSS interoperability at the system level, an innovative assessment algorithm was presented in this paper. First of all, three assessment parameters, namely, Dilution Of Precision (DOP), Navigation Satellite System Precision (NSSP) and Navigation Satellite System Integrity (NSSI) were introduced. Secondly, availability and continuity of the assessment parameters were adopted to quantify the GNSS performance. A further step was then taken to focus on the assessment rule for GNSS performance by employing the weighted sum of availability and continuity. Simulation results demonstrate that GNSS performance could be improved significantly by interoperability.
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Stateczny, Andrzej, Wioleta Błaszczak-Bąk, Anna Sobieraj-Żłobińska, Weronika Motyl, and Marta Wisniewska. "Methodology for Processing of 3D Multibeam Sonar Big Data for Comparative Navigation." Remote Sensing 11, no. 19 (September 26, 2019): 2245. http://dx.doi.org/10.3390/rs11192245.
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Autonomous navigation is an important task for unmanned vehicles operating both on the surface and underwater. A sophisticated solution for autonomous non-global navigational satellite system navigation is comparative (terrain reference) navigation. We present a method for fast processing of 3D multibeam sonar data to make depth area comparable with depth areas from bathymetric electronic navigational charts as source maps during comparative navigation. Recording the bottom of a channel, river, or lake with a 3D multibeam sonar data produces a large number of measuring points. A big dataset from 3D multibeam sonar is reduced in steps in almost real time. Usually, the whole data set from the results of a multibeam echo sounder results are processed. In this work, new methodology for processing of 3D multibeam sonar big data is proposed. This new method is based on the stepwise processing of the dataset with 3D models and isoline maps generation. For faster products generation we used the optimum dataset method which has been modified for the purposes of bathymetric data processing. The approach enables detailed examination of the bottom of bodies of water and makes it possible to capture major changes. In addition, the method can detect objects on the bottom, which should be eliminated during the construction of the 3D model. We create and combine partial 3D models based on reduced sets to inspect the bottom of water reservoirs in detail. Analyses were conducted for original and reduced datasets. For both cases, 3D models were generated in variants with and without overlays between them. Tests show, that models generated from reduced dataset are more useful, due to the fact, that there are significant elements of the measured area that become much more visible, and they can be used in comparative navigation. In fragmentary processing of the data, the aspect of present or lack of the overlay between generated models did not relevantly influence the accuracy of its height, however, the time of models generation was shorter for variants without overlay.
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Penna, M. A., and Jian Wu. "Models for map building and navigation." IEEE Transactions on Systems, Man, and Cybernetics 23, no. 5 (1993): 1276–301. http://dx.doi.org/10.1109/21.260660.
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Etienne, A. S. "Mammalian Navigation, Neural Models and Biorobotics." Connection Science 10, no. 3-4 (September 1998): 271–89. http://dx.doi.org/10.1080/095400998116440.
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Hubbold, Roger, and Martin Keates. "Landmarking for navigation of large models." Computers & Graphics 23, no. 5 (October 1999): 729–38. http://dx.doi.org/10.1016/s0097-8493(99)00095-3.
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Fleischmann, Pauline N., Robin Grob, and Wolfgang Rössler. "Magnetoreception in Hymenoptera: importance for navigation." Animal Cognition 23, no. 6 (September 25, 2020): 1051–61. http://dx.doi.org/10.1007/s10071-020-01431-x.
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AbstractThe use of information provided by the geomagnetic field (GMF) for navigation is widespread across the animal kingdom. At the same time, the magnetic sense is one of the least understood senses. Here, we review evidence for magnetoreception in Hymenoptera. We focus on experiments aiming to shed light on the role of the GMF for navigation. Both honeybees and desert ants are well-studied experimental models for navigation, and both use the GMF for specific navigational tasks under certain conditions. Cataglyphis desert ants use the GMF as a compass cue for path integration during their initial learning walks to align their gaze directions towards the nest entrance. This represents the first example for the use of the GMF in an insect species for a genuine navigational task under natural conditions and with all other navigational cues available. We argue that the recently described magnetic compass in Cataglyphis opens up a new integrative approach to understand the mechanisms underlying magnetoreception in Hymenoptera on different biological levels.
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Zhu, Zhigang, Jin Chen, Lei Zhang, Yaohua Chang, Tyler Franklin, Hao Tang, and Arber Ruci. "iASSIST." International Journal of Multimedia Data Engineering and Management 11, no. 4 (October 2020): 38–59. http://dx.doi.org/10.4018/ijmdem.2020100103.
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The iASSIST is an iPhone-based assistive sensor solution for independent and safe travel for people who are blind or visually impaired, or those who simply face challenges in navigating an unfamiliar indoor environment. The solution integrates information of Bluetooth beacons, data connectivity, visual models, and user preferences. Hybrid models of interiors are created in a modeling stage with these multimodal data, collected, and mapped to the floor plan as the modeler walks through the building. Client-server architecture allows scaling to large areas by lazy-loading models according to beacon signals and/or adjacent region proximity. During the navigation stage, a user with the navigation app is localized within the floor plan, using visual, connectivity, and user preference data, along an optimal route to their destination. User interfaces for both modeling and navigation use multimedia channels, including visual, audio, and haptic feedback for targeted users. The design of human subject test experiments is also described, in addition to some preliminary experimental results.
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Broadey, Andy. "Montage after Navigation." Arts 12, no. 3 (May 12, 2023): 101. http://dx.doi.org/10.3390/arts12030101.
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The concept of navigation, introduced by Harun Farocki in his lecture Computer Animation Rules, explains the digital/algorithmic choreography of consumer behaviour through media platforms. This article contends navigational connectivity is a cybernetic operating structure for capital, which mediates the techno-geographic milieu of the capitalocene and is a key factor in the present destabilization of earth systems. There is, therefore, an urgent need to formulate ways of disarticulating navigational processes to fragment global capitalism and re-establish a diversification of local cultures. We undertake this task in tandem with the critical project of cosmotechnics developed by Yuk Hui and examine how an ontological disagreement between Gilles Deleuze and Quentin Meillassoux shapes Hui’s analysis of cybernetics. Contra Meillassoux’s correlationist reading, we argue Deleuze foregrounds machinic becoming through a primal contact with the virtual and claim practices of montage are machines of analysis that dismantle navigational connections and establish alternate patterns of feedback estranged from the capitalist process. To this end, we examine models of montage developed by Jacques Rancière, Farocki and Deleuze, and consider the potential of such models to function as machines of navigational disarticulation and cultural pluralization. This approach reframes user engagement as modulative becoming in a manner that introduces new techno-cultural-geographic conjunctions appropriate to cosmotechnics.
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Liu, Jingxian, Feng Zhou, Zongzhi Li, Maoqing Wang, and Ryan Wen Liu. "Dynamic Ship Domain Models for Capacity Analysis of Restricted Water Channels." Journal of Navigation 69, no. 3 (October 29, 2015): 481–503. http://dx.doi.org/10.1017/s0373463315000764.
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Developing adequate ship domain models may significantly benefit vessel navigation safety. In essence, navigation safety is collectively affected by the navigable waterway condition, the size and shape of the ship, and operators' skills. The existing ship domains mainly use constant values for the model input parameters, making them incapable of handling site-specific conditions. This study proposes dynamic ship domain models that take into consideration navigable waterway conditions, ship behaviours, ship types and sizes, and operators' skills in a holistic manner. Specifically, the conditions of restricted waterways are classified into navigating along the channel, crossing the channel, joining another flow and turning. The ship types considered include ships that transport non-hazardous goods and Liquid Natural Gas (LNG) ships that are in need of additional security zones. A computational experiment is conducted for model application using data on water channel design and ship traffic volumes related to navigating along the channel, joining another flow and turning. Comparisons of results obtained between the proposed dynamic models with real ship traffic counts reveal that the proposed models could achieve a higher level of accuracy in estimating the capacity of restricted water channels. It therefore could potentially deliver safety enhancements of waterway transportation.
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Cabot, Jordi, and Cristina Gómez. "Evaluating the Consistency between Navigation and Data Models for Web Applications." International Journal of Information System Modeling and Design 1, no. 3 (July 2010): 68–85. http://dx.doi.org/10.4018/jismd.2010070104.
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Specification of web applications involves the definition of two main viewpoints: the navigation model and the data model. Thus far, correctness analysis of the relationship between both models has received little attention. In this paper, the authors present a set of correctness properties to evaluate the consistency of a navigation model with respect to its corresponding data model. Mainly, this paper focuses on the completeness of the navigation model (i.e., if users can manipulate all of the data through the operations in the navigation model) and its executability (i.e., whether all navigation paths admit at least one possible run-time execution that leaves the application data in a consistent state).
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Andreeva, Ekaterina Valerievna. "MODEL FOR FORMING SHIPPING ROUTES IN THE WATER AREA OF THE NORTHERN SEA ROUTE." Automation and modeling in design and management 2022, no. 2 (June 22, 2022): 18–26. http://dx.doi.org/10.30987/2658-6436-2022-2-18-26.
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This work is devoted to developing a generalized model for forming shipping routes in the waters of the Arctic seas. The research theme is related to solving the strategic task of providing a year-round navigation in the waters of the Northern Sea Route. The characteristics of the navigation-hydrographic and ice conditions for performing the maritime Arctic transport system are given. The article presents the main indicators characterizing the volume of cargo transportation carried out along the routes of the Northern Sea Route in 2021 and the number of ships operating in the water area. The main factors influencing the network development of year-round shipping routes are determined. An analytical review of known models and methods for assessing navigational risks are carried out. A list of the main factors of navigational risks is established. A generalized model is proposed for joint considering the influence of shallow depths, ice conditions and tightness of the water area on the navigation safety. The main formulae, correlations and limitations of the model, as well as generalized and particular criteria for indicators of navigational safety are given. The results of checking the model performance are presented. The possibility of a year-round navigation of two-type large-capacity vessels in the Sannikov Strait is considered. Applying the model makes it possible to perform a comparative assessment of the ship navigation routes according to the generalized criterion of navigational safety and particular criteria. A technique is developed for the practical use of the proposed model to solve the problems of ensuring safe navigation in the conditions of extended and a year-round navigation in the waters of the Northern Sea Route. The article outlines the ways of further research
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Čumbelić, Petar. "The Distribution of Navigational Errors." Journal of Navigation 40, no. 1 (January 1987): 30–41. http://dx.doi.org/10.1017/s0373463300000278.
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Practical navigation is far from an exact science because the navigator in his daily routine uses too many approximations which would be unacceptable in careful scientific work. These approximations will not be referred to in detail, or elaborated upon, since the matter is adequately dealt with in standard navigation manuals and textbooks. The laws that govern the distribution of random errors, however, their occurrence and frequency, will be discussed in this paper in terms of the theory of probability and mathematical statistics. The main objective will be the quantitative error analysis of random structures. We shall also formulate mathematical models and use them for computer simulations of practical navigation problems.
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Simon, Melissa A., Laura S. Tom, Ivy Leung, Esther Wong, Eileen E. Knightly, Daniel P. Vicencio, Ann Yau, Karen Ortigara, and XinQi Dong. "The Chinatown Patient Navigation Program: Adaptation and Implementation of Breast and Cervical Cancer Patient Navigation in Chicago’s Chinatown." Health Services Insights 12 (January 2019): 117863291984137. http://dx.doi.org/10.1177/1178632919841376.
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Background: As health care reform continues within the United States, navigators may play increasingly diverse and vital roles across the health care continuum. The growing interest in patient navigation programs for underserved populations calls for detailed descriptions of intervention components to facilitate implementation and dissemination efforts. Methods: In Chicago’s Chinatown, Chinese immigrant women face language, cultural, and access barriers in obtaining breast and cervical cancer screening and follow-up. These barriers spurred the research partnership between Northwestern University, the Chinese American Service League, Mercy Hospital & Medical Center, and Rush University Medical Center to formalize the Chinatown Patient Navigation Collaborative for adapting and implementing previously developed patient navigation models. Results: In this report, we describe the adaptation of patient navigation to build the Chinatown Patient Navigation Collaborative’s community-based patient navigation program for breast and cervical cancer. We offer insights into the roles of community patient navigators in safety net hospital and underserved Chinese immigrant communities, and describe implications for patient navigation initiatives to maximize community benefits by improving access to health care for vulnerable populations. Conclusions: Our adaptation and implementation of a patient navigation intervention in Chicago’s Chinatown illustrates promising approaches for future navigator research.
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Lisowski, Józef. "Determination and Display of Safe Ship Trajectories in Collision Situations at Sea." Solid State Phenomena 236 (July 2015): 128–33. http://dx.doi.org/10.4028/www.scientific.net/ssp.236.128.
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In this paper, game and optimization theory is applied to the marine navigation in congested waters. The process of game ship control is mentioned first, and then the base model and the approximated models are described with the simulation results. For each approximated model of the dynamic game, an appropriate method of safe control to support the navigator decision in a collision situations has been assigned. The considerations have been illustrated an examples of a computer simulation of several algorithms to determine the safe ship's trajectory in situations of passing many of the ships encountered, recorded on the radar screen in real navigational situation at sea.
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Pastel, Robert, Jacob Champlin, Matthew Harper, Nathan Paul, William Helton, Martin Schedlbauer, and Jesse Heines. "The Difficulty of Remotely Negotiating Corners." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 51, no. 5 (October 2007): 489–93. http://dx.doi.org/10.1177/154193120705100513.
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Remote navigation, popular in computer games and prevalent in areas such as clinical medicine and teleoperations of robots and drones, uses human-computer interfaces for control. Usability studies of remote navigation interfaces require good metrics for evaluating interfaces, assessing users' capabilities, and determining the difficulty of the navigational task. We studied the time proficient users took to navigate virtual hovercrafts through virtual hallways with corners of various widths and discovered that the time to negotiate corners is inversely proportional to corner width. We derive and evaluate two models for the index of difficulty for negotiating corners. Both models fit the data well, with r2 greater than 0.85 for the mean time to negotiate corners verses corner width.
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Karadeniz Kartal, Seda, M. Kemal Leblebicioglu, and Emre Ege. "Experimental test of the acoustic-based navigation and system identification of an unmanned underwater survey vehicle (SAGA)." Transactions of the Institute of Measurement and Control 40, no. 8 (May 2018): 2476–87. http://dx.doi.org/10.1177/0142331218756727.
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In this study, a nonlinear mathematical model for an unmanned underwater survey vehicle (SAGA) is obtained. The structure of the mathematical model of the vehicle comes from a Newton–Euler formulation. The three-dimensional motion is realized by a suitable combination of right, left and vertical thrusters. The navigation problem is solved by a combination of the inertial navigation system and acoustic-based measurements, which are integrated to obtain more accurate vehicle navigation data. In addition, a magnetic compass and a depth sensor are used to support vehicle attitude and depth information. A pool experimental set-up is designed for the navigation system. The performance of the resultant navigation system can be analysed by creating suitable system state, measurement and noise models. The vehicle navigational data are improved with a Kalman filter. The mathematical model of the vehicle includes some unknown parameters, such as added mass and damping coefficients. It is not possible to determine all the parameter values as their effect on the state of the system is usually negligible. However, most of the ‘important’ parameters are obtained from a system identification study of the vehicle by means of the estimated navigational data for coupled motion. The entire study is performed in a Matlab/Simulink environment.
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Karadeniz Kartal, Seda, M. Kemal Leblebicioglu, and Emre Ege. "Experimental test of vision-based navigation and system identification of an unmanned underwater survey vehicle (SAGA) for the yaw motion." Transactions of the Institute of Measurement and Control 41, no. 8 (January 31, 2019): 2160–70. http://dx.doi.org/10.1177/0142331219826524.
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In this study, a nonlinear mathematical model for an unmanned underwater survey vehicle (SAGA) is obtained. The structure of the mathematical model of the vehicle comes from a Newton–Euler formulation. The yaw motion is realized by a suitable combination of right and left thrusters. The navigation problem is solved by using the inertial navigation system and vision-based measurements together. These are integrated to more accurately obtain navigation data for the vehicle. In addition, the magnetic compass is used to support the attitude information of the vehicle. A pool experimental set-up is designed to test the navigation system. Performance of the resultant navigation system can be analysed by creating suitable system state, measurement and noise models. The navigational data for the vehicle has been improved using a Kalman filter. The mathematical model of the vehicle includes some unknown parameters such as added mass and damping coefficients. It is not possible to determine all the parameter values as their effects on the state of the system are usually negligible. On the other hand, most of the ‘important’ parameters are obtained based on a system identification study of the vehicle using this estimated navigational data for coupled motion. This study is performed in a MATLAB/Simulink environment.
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Liu, L., and S. Zlatanova. "Generating Navigation Models from Existing Building Data." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-4/W4 (November 26, 2013): 19–25. http://dx.doi.org/10.5194/isprsarchives-xl-4-w4-19-2013.
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Nguyen, Trang. "BUILDING NAVIGATION RECONFIGURABLE MODELS FOR MOBILE ROBOTS." Современные наукоемкие технологии (Modern High Technologies) 1, no. 11 2020 (2020): 49–55. http://dx.doi.org/10.17513/snt.38337.
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Georgel, P. F., P. Schroeder, and N. Navab. "Navigation Tools for Viewing Augmented CAD Models." IEEE Computer Graphics and Applications 29, no. 6 (November 2009): 65–73. http://dx.doi.org/10.1109/mcg.2009.123.
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Lewandowicz, Elżbieta, and Przemysław Lisowski. "METHODOLOGY TO GENERATE NAVIGATION MODELS IN BUILDING." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 24, no. 8 (December 14, 2018): 619–29. http://dx.doi.org/10.3846/jcem.2018.6599.
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Indoor route networks models are created for use in navigation. They may be built manually, but it is better to generate them automatically, based on the building floor plans. Research has been conducted in this field in many research centers. The authors undertook to develop their own methodology for generating navigation networks, using topological neighborhood relations and semantic data. The research project focuses on one floor in a building, which consists of rooms and an expanded corridor with an obstacle in the form of an open space between the floors. The first stage of the project consisted in the segmentation of the corridor space to improve its resolution. The objective of the conducted research was to select special points (five suggestions) for the segmentation. As a result, five different segmentations of the corridor space were obtained. The aim of the second stage was to automatically generate five navigation network models. The graphically presented results have been verified against the routes generated between the selected points in the building plan. A comparison of the results with other solutions shows that the routes generated in the presented methodology are more straight-line and less zigzagging.
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Hollink, Vera, Maarten van Someren, and Bob J. Wielinga. "Navigation behavior models for link structure optimization." User Modeling and User-Adapted Interaction 17, no. 4 (June 19, 2007): 339–77. http://dx.doi.org/10.1007/s11257-007-9030-0.
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Gucma, Maciej. "Models of maritime safety for development of navigation support systems." Archives of Transport 37, no. 1 (March 31, 2016): 31–41. http://dx.doi.org/10.5604/08669546.1203201.
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Navigation support systems are part of modern maritime transportation chain where larger and larger vessels are handled in ports. Support systems for sea navigation must meet certain criteria for access, integrity, accuracy and other factors. Modelling of safety criteria for technical creation of support systems like PNS (Pilot Navigation System) or LDS (Laser Docking System) consists of several stages both conceptual, and real time experimental. Even basic systems must be designed and developed in manner where assumed safety factors are met.
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Sun, Yanjun, Yue Qiu, Yoshimitsu Aoki, and Hirokatsu Kataoka. "Outdoor Vision-and-Language Navigation Needs Object-Level Alignment." Sensors 23, no. 13 (June 29, 2023): 6028. http://dx.doi.org/10.3390/s23136028.
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In the field of embodied AI, vision-and-language navigation (VLN) is a crucial and challenging multi-modal task. Specifically, outdoor VLN involves an agent navigating within a graph-based environment, while simultaneously interpreting information from real-world urban environments and natural language instructions. Existing outdoor VLN models predict actions using a combination of panorama and instruction features. However, these methods may cause the agent to struggle to understand complicated outdoor environments and ignore the details in the environments to fail to navigate. Human navigation often involves the use of specific objects as reference landmarks when navigating to unfamiliar places, providing a more rational and efficient approach to navigation. Inspired by this natural human behavior, we propose an object-level alignment module (OAlM), which guides the agent to focus more on object tokens mentioned in the instructions and recognize these landmarks during navigation. By treating these landmarks as sub-goals, our method effectively decomposes a long-range path into a series of shorter paths, ultimately improving the agent’s overall performance. In addition to enabling better object recognition and alignment, our proposed OAlM also fosters a more robust and adaptable agent capable of navigating complex environments. This adaptability is particularly crucial for real-world applications where environmental conditions can be unpredictable and varied. Experimental results show our OAlM is a more object-focused model, and our approach outperforms all metrics on a challenging outdoor VLN Touchdown dataset, exceeding the baseline by 3.19% on task completion (TC). These results highlight the potential of leveraging object-level information in the form of sub-goals to improve navigation performance in embodied AI systems, paving the way for more advanced and efficient outdoor navigation.
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Li, Yufeng, Jingbin Li, Wenhao Zhou, Qingwang Yao, Jing Nie, and Xiaochen Qi. "Robot Path Planning Navigation for Dense Planting Red Jujube Orchards Based on the Joint Improved A* and DWA Algorithms under Laser SLAM." Agriculture 12, no. 9 (September 12, 2022): 1445. http://dx.doi.org/10.3390/agriculture12091445.
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High precision navigation along specific paths is required for plant protection operations in dwarf and densely planted jujube orchards in southern Xinjiang. This study proposes a robotic path planning and navigation method for dense planting of red jujube orchards based on the improved A* and dynamic window approach (DWA) algorithms using Laser Radar to build maps. First, kinematic and physical robot simulation models are established; a map of the densely planted jujube orchard is constructed using Laser Radar. The robot’s position on the constructed map is described using an adaptive Monte Carlo positioning algorithm. Second, a combination of the improved A* and DWA algorithms is used to implement global and real-time local path planning; an evaluation function is used for path optimisation. The proposed path planning algorithm can accurately determine the robot’s navigation paths, with the average error U, average linear path displacement error, and L-shaped navigation being 2.69, 2.47, and 2.68 cm, respectively. A comparison experiment is set up in the specific path navigation section. The experimental results show that the improved fusion algorithm reduces the average navigation positioning deviation by 0.91cm and 0.54 cm when navigating L and U-shaped specific paths. The improved fusion algorithm is superior to the traditional fusion algorithm in navigation accuracy and navigation stability. It can improve the navigation accuracy of the dense planting jujube garden and provide a reference method for the navigation of the plant protection operation in the densely planted jujube orchards.
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Lee, JuHee, YonJi Kim, Yielin Kim, and Yujin Suh. "Person-Centered Navigator Program for People with Parkinson’s Disease: A Pilot Study." Western Journal of Nursing Research 45, no. 6 (April 21, 2023): 499–510. http://dx.doi.org/10.1177/01939459231166479.
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There are limited Parkinson’s disease (PD)-specific navigator programs, although PD is chronic and requires life-long comprehensive care. As most patient navigation literature focuses on oncology and is based in the West, this study aimed to develop a person-centered navigator program for PD and evaluate its preliminary outcomes and feasibility in the Korean context. The program was developed using the “analysis, design, development, implementation, and evaluation” model, and “professional navigation framework.” Initially, 28 participants were recruited to participate in an 8-week navigator program. The retention rate was 82%. Social function was significantly improved 12 weeks after baseline. Participants reported high satisfaction with the program, suggesting that it was well-accepted. This study systematically developed a navigator program based on PD-specific needs and the Korean context. Future models should focus on personal and participatory attributes. Navigator programs for people with PD represent appropriate and evolving healthcare interventions.
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Chang, Dongsik, Fumin Zhang, and Catherine R. Edwards. "Real-Time Guidance of Underwater Gliders Assisted by Predictive Ocean Models." Journal of Atmospheric and Oceanic Technology 32, no. 3 (March 2015): 562–78. http://dx.doi.org/10.1175/jtech-d-14-00098.1.
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AbstractIn recent years, collecting scientific data from ocean environments has been increasingly undertaken by underwater gliders. For better navigation performance, the influence of flow on the navigation of underwater gliders may be significantly reduced by estimating flow velocity. However, methods for estimating flow do not always account for spatial and temporal changes in the flow field, leading to poor navigation in complex ocean environments. To improve navigation accuracy in such environmental conditions, this paper studies an approach for the real-time guidance of underwater gliders assisted by predictive ocean models. This study is motivated by glider deployments conducted from January to April 2012 and in February 2013 in Long Bay, South Carolina, where the ocean currents are characterized by strong tides and a stronger alongshore current, the Gulf Stream. The flow speed here often exceeds the forward speed of the glider. To deal with such a challenge, a computationally efficient method of depth-averaged ocean current modeling was developed. The method adjusts the ocean model based on the most recent ocean observations from gliders as feedback, and flow predictions from the model are incorporated into path planning, which produces waypoints. The entire process of flow prediction, path planning, and waypoint computation is performed off-board the gliders in real time by the glider navigation support system, the Glider-Environment Network Information System (GENIoS). This paper presents the setup and method for the glider navigation strategy applied to the Long Bay deployments. For demonstration, the performance of the method described here is compared to that of the default method implemented in the built-in glider navigation system.
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Hou, Jiwei, Patrick Hübner, and Dorota Iwaszczuk. "Development of Navigation Network Models for Indoor Path Planning Using 3D Semantic Point Clouds." Applied Sciences 15, no. 3 (January 23, 2025): 1151. https://doi.org/10.3390/app15031151.
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Accurate and efficient path planning in indoor environments relies on high-quality navigation networks that faithfully represent the spatial and semantic structure of the environment. Three-dimensional semantic point clouds provide valuable spatial and semantic information for navigation tasks. However, extracting detailed navigation networks from 3D semantic point clouds remains a challenge, especially in complex indoor spaces like staircases and multi-floor environments. This study presents a comprehensive framework for developing and extracting robust navigation network models, specifically designed for indoor path planning applications. The main contributions include (1) a preprocessing pipeline that ensures high accuracy and consistency of the input semantic point cloud data; (2) a moving window algorithm for refined node extraction in staircases to enable seamless navigation across vertical spaces; and (3) a lightweight, JSON-based storage structure for efficient network representation and integration. Additionally, we presented a more comprehensive sub-node extraction method for hallways to enhance network continuity. We validated the method using two datasets—the public S3DIS dataset and the self-collected HoloLens 2 dataset—and demonstrated its effectiveness through Dijkstra-based path planning. The generated navigation networks supported practical scenarios such as wheelchair-accessible path planning and seamless multi-floor navigation. These findings highlight the practical value of our approach for modern indoor navigation systems, with potential applications in smart building management, robotics, and emergency response.
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El Natour, Ghina, Guillaume Bresson, and Remi Trichet. "Multi-Sensors System and Deep Learning Models for Object Tracking." Sensors 23, no. 18 (September 11, 2023): 7804. http://dx.doi.org/10.3390/s23187804.
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Autonomous navigation relies on the crucial aspect of perceiving the environment to ensure the safe navigation of an autonomous platform, taking into consideration surrounding objects and their potential movements. Consequently, a fundamental requirement arises to accurately track and predict these objects’ trajectories. Three deep recurrent network architectures were defined to achieve this, fine-tuning their weights to optimize the tracking process. The effectiveness of this proposed pipeline has been assessed, with diverse tracking scenarios demonstrated in both sub-urban and highway environments. The evaluations have yielded promising results, affirming the potential of this approach in enhancing autonomous navigation capabilities.
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Nosov, Pavlo, Serhii Zinchenko, Andrii Ben, Yurii Prokopchuk, Pavlo Mamenko, Ihor Popovych, Vladyslav Moiseienko, and Dmytro Kruglyj. "Navigation safety control system development through navigator action prediction by data mining means." Eastern-European Journal of Enterprise Technologies 2, no. 9 (110) (April 30, 2021): 55–68. http://dx.doi.org/10.15587/1729-4061.2021.229237.
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Taking into account current trends in the development of ergatic maritime transport systems, the factors of the navigator’s influence on vessel control processes were determined. Within the framework of the research hypothesis, to improve navigation safety, it is necessary to apply predictive data mining models and automated vessel control. The paper proposes a diagram of the ergatic vessel control system and a model for identifying the influence of the navigator “human factor” during navigation. Within the framework of the model based on the principles of navigator decision trees, prediction by data mining means is applied, taking into account the identifiers of the occurrence of a critical situation. Based on the prediction results, a method for optimal vessel control in critical situations was developed, which is triggered at the nodes of the navigator decision tree, which reduces the likelihood of a critical impact on vessel control. The proposed approaches were tested in the research laboratory “Development of decision support systems, ergatic and automated vessel control systems”. The use of the Navi Trainer 5,000 navigation simulator (Wärtsilä Corporation, Finland) and simulation of the navigation safety control system for critical situations have confirmed its effectiveness. As a result of testing, it was determined that the activation of the system allowed reducing the likelihood of critical situations by 18–54 %. In 11 % of cases, the system switched the vessel control processes to automatic mode and, as a result, reduced the risk of emergencies. The use of automated data mining tools made it possible to neutralize the negative influence of the “human factor” of the navigator and to reduce the average maneuvering time during vessel navigation to 23 %
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Bao, Xiaoan, Zhiqiang Lv, and Biao Wu. "Enhancing Large Language Models with RAG for Visual Language Navigation in Continuous Environments." Electronics 14, no. 5 (February 25, 2025): 909. https://doi.org/10.3390/electronics14050909.
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The task of Visual Language Navigation in Continuous Environments (VLN-CE) aims to enable agents to comprehend and execute human instructions in real-world environments. However, current methods frequently face challenges such as insufficient knowledge and difficulties in obstacle avoidance when performing VLN-CE tasks. To address these challenges, this paper proposes a navigation approach guided by a Retrieval Augmented Generation (RAG) large language model (RAGNav). By constructing a navigation knowledge base, we leverage RAG to enhance the input of LLM, enabling the generation of more precise navigation plans. Furthermore, we introduce a Prompt Enhanced Obstacle Avoidance strategy (PEOA) to improve the flexibility and robustness of agents in complex environments. Experimental results indicate that our method not only increases the navigation accuracy of agents but also enhances their obstacle avoidance capabilities, achieving a 2% and 2.32% increase in success rates on the public datasets R2R-CE and RxR-CE, respectively.
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Rubtsov, E. A., S. A. Kudryakov, Ia M. Dalinger, and A. S. Kalintsev. "ADS-B data gating technique and its probabilistic models." Civil Aviation High Technologies 26, no. 4 (August 28, 2023): 50–63. http://dx.doi.org/10.26467/2079-0619-2023-26-4-50-63.
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The article developed a gating technique that allows us to validate ADS-B data without the necessity to verify using the secondary surveillance radar or multilateration. Probabilistic models of the ADS-B data gating technique, as well as the algorithm for applying these models were proposed. Benchmark cases that occur when aircraft (A/C) positioning by ADS-B systems, determined by threshold values of navigation and pilot’s errors, were analyzed. The first benchmark case assumes not exceeding of navigation and pilot’s errors the bounds of the tolerance limits, which allows us to draw up a conclusion concerning the ADS-B data validation. The second one assumes exceeding of a pilot’s error the bounds of the tolerance limits under an allowable navigational error. Herewith, the air traffic controller (ATC) obtains a message about the proper ADS-B operation and the necessity to issue instructions to the pilot to correct a flight. The third benchmark case assumes exceeding of a navigation error the bounds of the tolerance limits under an allowable or not allowable pilot’s error. In this case, the ATC obtains a message about not valid ADS-B data and the incapability to use these systems. The simulation of the given benchmark cases was performed. In addition, the Rayleigh and Rice distributions were applied to implement the ADS-B data gating technique. The simulation results allow us to assess the required amount of accumulated ADS-B data for the evaluation. Thus, it was found that during the estimate based on the Rayleigh distribution, it is sufficient to accumulate 15–20 measurements, which, when transmitting 2 messages per second and under the condition of the normal ADS-B equipment operation, will take 8–10 s. During the estimate, using the Rice distribution, an accumulation of 25–30 measurements is sufficient, which will take 13–20 s. The developed method will allow the use of ADS-B systems at regional aerodromes with the low intensity of air traffic as the primary or sole surveillance means.
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Díaz-Vilariño, L., P. Boguslawski, K. Khoshelham, H. Lorenzo, and L. Mahdjoubi. "INDOOR NAVIGATION FROM POINT CLOUDS: 3D MODELLING AND OBSTACLE DETECTION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B4 (June 13, 2016): 275–81. http://dx.doi.org/10.5194/isprs-archives-xli-b4-275-2016.
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In the recent years, indoor modelling and navigation has become a research of interest because many stakeholders require navigation assistance in various application scenarios. The navigational assistance for blind or wheelchair people, building crisis management such as fire protection, augmented reality for gaming, tourism or training emergency assistance units are just some of the direct applications of indoor modelling and navigation. <br><br> Navigational information is traditionally extracted from 2D drawings or layouts. Real state of indoors, including opening position and geometry for both windows and doors, and the presence of obstacles is commonly ignored. <br><br> In this work, a real indoor-path planning methodology based on 3D point clouds is developed. The value and originality of the approach consist on considering point clouds not only for reconstructing semantically-rich 3D indoor models, but also for detecting potential obstacles in the route planning and using these for readapting the routes according to the real state of the indoor depictured by the laser scanner.
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Díaz-Vilariño, L., P. Boguslawski, K. Khoshelham, H. Lorenzo, and L. Mahdjoubi. "INDOOR NAVIGATION FROM POINT CLOUDS: 3D MODELLING AND OBSTACLE DETECTION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B4 (June 13, 2016): 275–81. http://dx.doi.org/10.5194/isprsarchives-xli-b4-275-2016.
Full textAbstract:
In the recent years, indoor modelling and navigation has become a research of interest because many stakeholders require navigation assistance in various application scenarios. The navigational assistance for blind or wheelchair people, building crisis management such as fire protection, augmented reality for gaming, tourism or training emergency assistance units are just some of the direct applications of indoor modelling and navigation. <br><br> Navigational information is traditionally extracted from 2D drawings or layouts. Real state of indoors, including opening position and geometry for both windows and doors, and the presence of obstacles is commonly ignored. <br><br> In this work, a real indoor-path planning methodology based on 3D point clouds is developed. The value and originality of the approach consist on considering point clouds not only for reconstructing semantically-rich 3D indoor models, but also for detecting potential obstacles in the route planning and using these for readapting the routes according to the real state of the indoor depictured by the laser scanner.
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Golovan, A. A. "INS/Odometer Integration: Positional Approach." Giroskopiya i Navigatsiya 29, no. 2 (2021): 110–25. http://dx.doi.org/10.17285/0869-7035.0066.
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The problem of a strapdown inertial navigation system (SINS) integration with an odometer as part of an integrated navigation system is considered. The odometer raw measurement is considered as an increment of the distance traveled along the odometer ‘measuring’ axis. Models of the integration solution components for the case of threedimensional navigation are presented, among which are the models of inertial autonomous and kinematic odometer dead reckoning (DR), models of relevant error equations, the model of SINS position aiding based on the odometer DR data and using GNSS position and velocity, wherever possible. The models comprise objective components, which do not depend on the type of the inertial sensors used and their accuracy grade, and variable components, which take into account the properties of the navigation sensors used. The integration does not require zero velocity updates, known as ZUPT correction, which are commonly used in navigation application.
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Cao, Jingjing, Zhipeng Wen, Liang Huang, Jinshan Dai, and Hu Qin. "EFE-LSTM: A Feature Extension, Fusion and Extraction Approach Using Long Short-Term Memory for Navigation Aids State Recognition." Mathematics 12, no. 7 (March 30, 2024): 1048. http://dx.doi.org/10.3390/math12071048.
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Navigation aids play a crucial role in guiding ship navigation and marking safe water areas. Therefore, ensuring the accurate and efficient recognition of a navigation aid’s state is critical for maritime safety. To address the issue of sparse features in navigation aid data, this paper proposes an approach that involves three distinct processes: the extension of rank entropy space, the fusion of multi-domain features, and the extraction of hidden features (EFE). Based on these processes, this paper introduces a new LSTM model termed EFE-LSTM. Specifically, in the feature extension module, we introduce a rank entropy operator for space extension. This method effectively captures uncertainty in data distribution and the interrelationships among features. The feature fusion module introduces new features in the time domain, frequency domain, and time–frequency domain, capturing the dynamic features of signals across multiple dimensions. Finally, in the feature extraction module, we employ the BiLSTM model to capture the hidden abstract features of navigational signals, enabling the model to more effectively differentiate between various navigation aids states. Extensive experimental results on four real-world navigation aid datasets indicate that the proposed model outperforms other benchmark algorithms, achieving the highest accuracy among all state recognition models at 92.32%.