Thematische Bibliographien / Exploration and mapping

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Auswahl der wissenschaftlichen Literatur zum Thema „Exploration and mapping“

Autor: Grafiati

Veröffentlicht am 25. Mai 2024

Zuletzt aktualisiert am 22. Juni 2025

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Zeitschriftenartikel zum Thema "Exploration and mapping"

Schall, Janine M. "Cultural Exploration Through Mapping." Social Studies 101, no. 4 (2010): 166–73. http://dx.doi.org/10.1080/00377990903284146.

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Anwarzai, Mohammad Abed, and Ken Nagasa. "Prospect Area Mapping for Geothermal Energy Exploration in Afghanistan." Journal of Clean Energy Technologies 5, no. 6 (2017): 501–6. http://dx.doi.org/10.18178/jocet.2017.5.6.424.

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K Sivasekaran, K. Sivasekaran, and S. Srinivasaragavan S Srinivasaragavan. "Mapping of Research Publications on Himalayas: A Scientometrics Exploration." International Journal of Scientific Research 2, no. 8 (2012): 222–24. http://dx.doi.org/10.15373/22778179/aug2013/73.

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Fox, D., J. Ko, K. Konolige, B. Limketkai, D. Schulz, and B. Stewart. "Distributed Multirobot Exploration and Mapping." Proceedings of the IEEE 94, no. 7 (2006): 1325–39. http://dx.doi.org/10.1109/jproc.2006.876927.

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Voicu, Horatiu, and Nestor Schmajuk. "Exploration, Navigation and Cognitive Mapping." Adaptive Behavior 8, no. 3-4 (2000): 207–23. http://dx.doi.org/10.1177/105971230000800301.

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Nüchter, Andreas, Radu B. Rusu, Dirk Holz, and Daniel Munoz. "Semantic perception, mapping and exploration." Robotics and Autonomous Systems 62, no. 5 (2014): 617–18. http://dx.doi.org/10.1016/j.robot.2013.10.002.

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Eldemiry, Amr, Yajing Zou, Yaxin Li, Chih-Yung Wen, and Wu Chen. "Autonomous Exploration of Unknown Indoor Environments for High-Quality Mapping Using Feature-Based RGB-D SLAM." Sensors 22, no. 14 (2022): 5117. http://dx.doi.org/10.3390/s22145117.

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Simultaneous localization and mapping (SLAM) system-based indoor mapping using autonomous mobile robots in unknown environments is crucial for many applications, such as rescue scenarios, utility tunnel monitoring, and indoor 3D modeling. Researchers have proposed various strategies to obtain full coverage while minimizing exploration time; however, mapping quality factors have not been considered. In fact, mapping quality plays a pivotal role in 3D modeling, especially when using low-cost sensors in challenging indoor scenarios. This study proposes a novel exploration algorithm to simultaneously optimize exploration time and mapping quality using a low-cost RGB-D camera. Feature-based RGB-D SLAM is utilized due to its various advantages, such as low computational cost and dense real-time reconstruction ability. Subsequently, our novel exploration strategies consider the mapping quality factors of the RGB-D SLAM system. Exploration time optimization factors are also considered to set a new optimum goal. Furthermore, a Voronoi path planner is adopted for reliable, maximal obstacle clearance and fixed paths. According to the texture level, three exploration strategies are evaluated in three real-world environments. We achieve a significant enhancement in mapping quality and exploration time using our proposed exploration strategies compared to the baseline frontier-based exploration, particularly in a low-texture environment.

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Holford, John, Peter Jarvis, Marcella Milana, Richard Waller, and Susan Webb. "Exploration, discovery, learning: mapping the unknown." International Journal of Lifelong Education 32, no. 6 (2013): 685. http://dx.doi.org/10.1080/02601370.2013.856138.

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Olson, Clark F., Larry H. Matthies, John R. Wright, Rongxing Li, and Kaichang Di. "Visual terrain mapping for Mars exploration." Computer Vision and Image Understanding 105, no. 1 (2007): 73–85. http://dx.doi.org/10.1016/j.cviu.2006.08.005.

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Jia, Wei Tang, Wen Hau Yuan, Shaikh-Husin Nasir, and Nadzir Marsono Muhammad. "Application Profiling and Mapping on NoC-based MPSoC Emulation Platform on Reconfigurable Logic." TELKOMNIKA Telecommunication, Computing, Electronics and Control 15, no. 3 (2017): 1040 ∼ 1047. https://doi.org/10.12928/telkomnika.v15.i3.6513.

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In network-on-chip (NoC) based multi-processor system-on-chip (MPSoC) development, application profiling is one of the most crucial step during design time to search and explore optimal mapping. Conventional mapping exploration methodologies analyse application-specific graphs by estimating its runtime behaviour using analytical or simulation models. However, the former does not replicate the actual application run-time performance while the latter requires significant amount of time for exploration. To map applications on a specific MPSoC platform, the application behaviour on cycle-accurate emulated platform should be considered for obtaining better mapping quality. This paper proposes an application mapping methodology that utilizes a MPSoC prototyped in Field-Programmable Gate Array (FPGA). Applications are implemented on homogeneous MPSoC cores and their costs are analysed and profiled on the platform in term of execution time, intra-core communication and inter-core communication delays. These metrics are utilized in analytical evaluation of the application mapping. The proposed analytical-based mapping is demonstrated against the exhaustive brute force method. Results show that the proposed method is able to produce quality mappings compared to the ground truth solutions but in shorter evaluation time.

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Dissertationen zum Thema "Exploration and mapping"

Mata, Roxana. "Persistent autonomous exploration, mapping and localization." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113127.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (pages 103-106). In this thesis, we investigate methods for exploration, persistent autonomy, and simultaneous localization and mapping tasks for an autonomous mobile robot with battery constraints. First, we present modifications to baseline frontier exploration on an occupancy grid that makes the robot's frontier exploration more efficient. Second, we describe the new software structure and recovery behavior for an autonomous robot to navigate to its dock despite errors of uncertainty in its map. Third, we implemented a landmark-based topological mapping method using a state-of-the-art toolbox that maps the environment using visually unique tags to compare with metric mapping methods. Our analysis shows that the robot explores its environment more efficiently using our method than with previous frontier exploration methods, and that graph based mapping outperforms metric mapping against ground-truth accuracy tests. by Roxana Mata. M. Eng.

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Valencia, Carreño Rafael. "Mapping, planning and exploration with Pose SLAM." Doctoral thesis, Universitat Politècnica de Catalunya, 2013. http://hdl.handle.net/10803/117471.

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This thesis reports research on mapping, path planning, and autonomous exploration. These are classical problems in robotics, typically studied independently, and here we link such problems by framing them within a common SLAM approach, adopting Pose SLAM as the basic state estimation machinery. The main contribution of this thesis is an approach that allows a mobile robot to plan a path using the map it builds with Pose SLAM and to select the appropriate actions to autonomously construct this map. Pose SLAM is the variant of SLAM where only the robot trajectory is estimated and where landmarks are only used to produce relative constraints between robot poses. In Pose SLAM, observations come in the form of relative-motion measurements between robot poses. With regards to extending the original Pose SLAM formulation, this thesis studies the computation of such measurements when they are obtained with stereo cameras and develops the appropriate noise propagation models for such case. Furthermore, the initial formulation of Pose SLAM assumes poses in SE(2) and in this thesis we extend this formulation to SE(3), parameterizing rotations either with Euler angles and quaternions. We also introduce a loop closure test that exploits the information from the filter using an independent measure of information content between poses. In the application domain, we present a technique to process the 3D volumetric maps obtained with this SLAM methodology, but with laser range scanning as the sensor modality, to derive traversability maps. Aside from these extensions to Pose SLAM, the core contribution of the thesis is an approach for path planning that exploits the modeled uncertainties in Pose SLAM to search for the path in the pose graph with the lowest accumulated robot pose uncertainty, i.e., the path that allows the robot to navigate to a given goal with the least probability of becoming lost. An added advantage of the proposed path planning approach is that since Pose SLAM is agnostic with respect to the sensor modalities used, it can be used in different environments and with different robots, and since the original pose graph may come from a previous mapping session, the paths stored in the map already satisfy constraints not easy modeled in the robot controller, such as the existence of restricted regions, or the right of way along paths. The proposed path planning methodology has been extensively tested both in simulation and with a real outdoor robot. Our path planning approach is adequate for scenarios where a robot is initially guided during map construction, but autonomous during execution. For other scenarios in which more autonomy is required, the robot should be able to explore the environment without any supervision. The second core contribution of this thesis is an autonomous exploration method that complements the aforementioned path planning strategy. The method selects the appropriate actions to drive the robot so as to maximize coverage and at the same time minimize localization and map uncertainties. An occupancy grid is maintained for the sole purpose of guaranteeing coverage. A significant advantage of the method is that since the grid is only computed to hypothesize entropy reduction of candidate map posteriors, it can be computed at a very coarse resolution since it is not used to maintain neither the robot localization estimate, nor the structure of the environment. Our technique evaluates two types of actions: exploratory actions and place revisiting actions. Action decisions are made based on entropy reduction estimates. By maintaining a Pose SLAM estimate at run time, the technique allows to replan trajectories online should significant change in the Pose SLAM estimate be detected. The proposed exploration strategy was tested in a common publicly available dataset comparing favorably against frontier based exploration

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Fan, Yuantao, and Maytheewat Aramrattana. "Exploration and Mapping of Warehouses Using QuadrotorHelicopters." Thesis, Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-24007.

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The goal of this thesis work is mapping of warehouse infrastructure using AR.Drone, aquadro helicopter equipped with a wide angle camera as its main sensor for mapping.Parallel Tracking and Mapping algorithm is employed for localization and creationof 3D point cloud of corner feature in the environment. Our approach for mapping was adata fusion algorithm that combines point cloud data from PTAM with estimated pillarpositions extracted by multi-stage image analysis algorithm.The methods implemented in ROS and Matlab has been successfully tested in real warehouseenvironment. The system is capable of creating an accurate map if some factorsare controlled. Details of results and analysis of methods are provided. Automatic Inventory and Mapping of Stock

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Fåk, Joel, and Tomas Wilkinson. "Autonomous Mapping and Exploration of Dynamic Indoor Environments." Thesis, Linköpings universitet, Reglerteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-97609.

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This thesis describes all the necessary parts needed to build a complete system for autonomous indoor mapping in 3D. The robotic platform used is a two-wheeled Segway, operating in a planar environment. This, together with wheel odometers, an Inertial Measurement Unit (IMU), two Microsoft Kinects and a laptop comprise the backbone of the system, which can be divided into three parts: The localization and mapping part, which fundamentally is a SLAM (simultaneous localization and mapping) algorithm implemented using the registration technique Iterative Closest Point (ICP). Along with the map being in 3D, it also designed to handle the mapping of dynamic scenes, something absent from the standard SLAM design. The planning used by the system is twofold. First, the path planning - finding a path from the current position to a destination - and second, the target planning - determining where to go next given the current state of the map and the robot. The third part of the system is the control and collision systems, which while they have not received much focus, are very necessary for a fully autonomous system. Contributions made by this thesis include: The 3D map framework Octomap is extended to handle the mapping of dynamic scenes; A new method for target planning, based on image processing is presented; A calibration procedure for the robot is derived that gives a full six degree of freedom pose for each Kinect. Results show that our calibration procedure produces an accurate pose for each Kinect, which is crucial for a functioning system. The dynamic mapping is shown to outperform the standard occupancy grid in fundamental situations that arise when mapping dynamic scenes. Additionally, the results indicate that the target planning algorithm provides a fast and easy way to plan new target destinations. Finally, the entire system’s autonomous mapping capabilities are evaluated together, producing promising results. However, it also highlights some problems that limit the system’s performance such as the inaccuracy and short range of the Kinects or noise added and reinforced by the multiple subsystems Detta exjobb beskriver delarna som krävs för att för bygga ett komplett system som autonomt kartlägger inomhusmiljöer i tre dimensioner. Robotplattformen är en Segway, som är kapabel att röra sig i ett plan. Segwayn, tillsammans med en tröghetssensor, två Microsoft Kinects och en bärbar dator utgör grunden till systemet, som kan delas i tre delar: En lokaliserings- och karteringsdel, som i grunden är en SLAM-algoritm (simultan lokalisering och kartläggning) baserad på registreringsmetoden Iterative Closest Point (ICP). Kartan som byggs upp är i tre dimensioner och ska dessutom hantera kartläggningen av dynamiska miljöer, något som orginalforumleringen av SLAM problemet inte klarar av. En automatisk planeringsdel, som består av två delar. Dels ruttplanering som går ut på att hitta en väg från sin nuvarande position till det valda målet och dels målplanering som innebär att välja ett mål att åka till givet den nuvarande kartan och robotens nuvarande position. Systemets tredje del är regler- och kollisionssystemen. Dessa system har inte varit i fokus i detta arbete, men de är ändå högst nödvändiga för att ett autonomt system skall fungera. Detta examensarbete bidrar med följande: Octomap, ett ramverk för kartläggningen i 3D, har utökats för att hantera kartläggningen av dynamiska miljöer; En ny metod för målplanering, baserad på bildbehandling läggs fram; En kalibreringsprocedur för roboten är framtagen som ger den fullständiga posen i förhållande till roboten för varje Kinect. Resultaten visar att vår kalibreringsprocedur ger en nogrann pose for för varje Kinect, vilket är avgörande för att systemet ska fungera. Metoden för kartläggningen av dynamiska miljöer visas prestera bra i grundläggande situationer som uppstår vid kartläggning av dynamiska miljöer. Vidare visas att målplaneringsalgoritmen ger ett snabbt och enkelt sätt att planera mål att åka till. Slutligen utvärderas hela systemets autonoma kartläggningsförmåga, som ger lovande resultat. Dock lyfter resultat även fram problem som begränsar systemets prestanda, till exempel Kinectens onoggranhet och korta räckvidd samt brus som läggs till och förstärks av de olika subsystemen.

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Alberts, Ernst Patrick. "Horizon mapping in exploration seismology using artficial intelligence." Thesis, Imperial College London, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.272160.

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Fisher, Roderick John. "Pole-potential mapping and synthetic arrays in electrical exploration." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/NQ59056.pdf.

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Wilson, Brenda G. "Exploration of mind mapping as an organizational change tool." Thesis, Pepperdine University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10100912.

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Mind mapping is a communication tool that has been around for decades though it is rarely discussed as a tool for facilitating organizational change. It is possible for this underutilized communication tool and the ever-present challenge of organizational change to work in harmony on a more consistent basis. This exploratory research asked Change Leaders and Change Participants about their current mind mapping usage or experience, and requested their input on the use of mind mapping for organizational change efforts. There were 76 Change Leaders and 11 others who self-described themselves as Change Participants who responded to a virtual data collection process. Overall change readiness levels were predominantly at the moderate level, 37% of Change Leaders and 45% of Change Participants, an encouraging statistic for organizations considering change. Respondents reported that mind mapping is mostly used as a personal tool for organization, planning events, setting goals, and writing papers. Change Leaders (n=20) who reported using mind mapping professionally, commented they used it primarily for communication and collaboration, and project and systems planning and design. Specific practices included coaching, clarifying objectives, evaluating and monitoring projects, assessing lessons learned, redesigning curriculum, realigning resources, setting expectations, objectives and goals, and establishing timelines. One study conclusion was that these change practitioners understood how change is inevitable, and indicated their willingness to actively participate. This makes it important for organizations to capitalize on change participants’ knowledge and enthusiasm to enable successful change and enhance employee well-being. Concluding that attitudes, behaviors, and feelings toward change vary based on the role one plays, Change Leaders can benefit from the efforts of Change Participants by simply respecting their role and knowledge and involving them in the entire process, from planning to implementation. It is a foregone conclusion that communication is essential for any change process regardless of what specific tool is used, but the importance of selecting an appropriate method(s) based on the situation, message, and the recipients is critical. Using mind mapping as a change management tool specifically designed for certain aspects of organizational change is highly recommended, as it allows for both linear and non-linear communication. Keywords: mind mapping, organizational change, Organizational Change Readiness Assessment, OCRA, visual communication

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Gregory, R. G. "Soil gas emanometry and hydrothermal mineralisation in southwest England." Thesis, University of Exeter, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.377311.

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Olson, Jacob Moroni. "Collaborative UAV Planning, Mapping, and Exploration in GPS-Denied Environments." BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/8703.

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The use of multirotor UAVs to map GPS-degraded environments is useful for many purposes ranging from routine structural inspections to post-disaster exploration to search for survivors and evaluate structural integrity. Multirotor UAVs are able to reach many areas that humans and other robots cannot safely access. Because of their relatively short operational flight time compared to other robotic applications, using multiple UAVs to collaboratively map these environments can streamline the mapping process significantly. This research focuses on four primary areas regarding autonomous mapping and navigation with multiple UAVs in complex unknown or partially unknown GPS-denied environments: The first area is the high-level coverage path planning necessary to successfully map these environments with multiple agents. The second area is the lower-level reactive path planning that enables autonomous navigation through complex, unknown environments. Third, is the estimation framework that enables autonomous flight without the use of GPS or other global position sensors. Lastly, it focuses on the mapping framework to build a single dense 3D map of these environments with multiple agents flying simultaneously.

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Jiang, Dayou. "An exploration of BMSF algorithm in genome-wide association mapping." Kansas State University, 2013. http://hdl.handle.net/2097/15505.

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Master of Science Department of Statistics Haiyan Wang Motivation: Genome-wide association studies (GWAS) provide an important avenue for investigating many common genetic variants in different individuals to see if any variant is associated with a trait. GWAS is a great tool to identify genetic factors that influence health and disease. However, the high dimensionality of the gene expression dataset makes GWAS challenging. Although a lot of promising machine learning methods, such as Support Vector Machine (SVM), have been investigated in GWAS, the question of how to improve the accuracy of the result has drawn increased attention of many researchers A lot of the studies did not apply feature selection to select a parsimonious set of relevant genes. For those that performed gene selections, they often failed to consider the possible interactions among genes. Here we modify a gene selection algorithm BMSF originally developed by Zhang et al. (2012) for improving the accuracy of cancer classification with binary responses. A continuous response version of BMSF algorithm is provided in this report so that it can be applied to perform gene selection for continuous gene expression dataset. The algorithm dramatically reduces the dimension of the gene markers under concern, thus increases the efficiency and accuracy of GWAS. Results: We applied the continuous response version of BMSF on the wheat phenotypes dataset to predict two quantitative traits based on the genotype marker data. This wheat dataset was previously studied in Long et al. (2009) for the same purpose but used only direct application of SVM regression methods. By applying our gene selection method, we filtered out a large portion of genes which are less relevant and achieved a better prediction result for the test data by building SVM regression model using only selected genes on the training data. We also applied our algorithm on simulated datasets which was generated following the setting of an example in Fan et al. (2011). The continuous response version of BMSF showed good ability to identify active variables hidden among high dimensional irrelevant variables. In comparison to the smoothing based methods in Fan et al. (2011), our method has the advantage of no ambiguity due to difference choices of the smoothing parameter.

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Bücher zum Thema "Exploration and mapping"

Stachniss, Cyrill. Robotic Mapping and Exploration. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01097-2.

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Stachniss, Cyrill. Robotic Mapping and Exploration. Springer Berlin Heidelberg, 2009.

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Whitfield, Peter. Mapping the world: A history of exploration. The Folio Society, 2000.

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Valencia, Rafael, and Juan Andrade-Cetto. Mapping, Planning and Exploration with Pose SLAM. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-60603-3.

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Ramakrishna, T. S. Geophysical practice in mineral exploration and mapping. Geological Society of India, 2006.

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Woodward, Nicholas B. Balanced geological cross-sections: An essential technique in geological research and exploration. American Geophysical Union, 1989.

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P, Koepp Donna, ed. Exploration and mapping of the American West: Selected essays. Map and Geography Round Table of the American Library Association, 1986.

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Morton, Oliver. Mapping Mars: Science, imagination and the birth of a world. Fourth Estate, 2002.

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Vogt, Gregory. Magellan and the radar mapping of Venus. Millbrook Press, 1992.

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Mariners Museum (Newport News, Va.). Library, ed. Mapping Virginia: From the age of exploration to the Civil War. University of Virginia Press, 2012.

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Buchteile zum Thema "Exploration and mapping"

Park, Hyunhee. "Mapping and Exploration." In The Mongol World. Routledge, 2022. http://dx.doi.org/10.4324/9781315165172-56.

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Marjoribanks, Roger. "Geological Mapping in Exploration." In Geological Methods in Mineral Exploration and Mining. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-74375-0_2.

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Marjoribanks, Roger W. "Geological Mapping in Exploration." In Geological Methods in Mineral Exploration and Mining. Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5822-0_2.

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Marjoribanks, Roger. "Mine Mapping." In Geological Methods in Mineral Exploration and Mining. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-74375-0_3.

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Marjoribanks, Roger W. "Mine Mapping." In Geological Methods in Mineral Exploration and Mining. Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5822-0_3.

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Berger, Zeev. "Interpretation Techniques: Structural Mapping with Stereo Data." In Satellite Hydrocarbon Exploration. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-78587-0_6.

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Khabbaz, Noor, and Scott Nokleby. "UAV Obstacle Mapping for Multi-UGV Exploration and Mapping." In Proceedings of MSR-RoManSy 2024. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-60618-2_13.

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Edwards, Mark G. "Mapping Resilience Theory: A Metatheoretical Exploration." In Strategies, Dispositions and Resources of Social Resilience. Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-29059-7_2.

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Agterberg, Frits. "Predictive Geologic Mapping and Mineral Exploration." In Encyclopedia of Mathematical Geosciences. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-85040-1_26.

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Perera, Samunda, Dr Nick Barnes, and Dr Alexander Zelinsky. "Exploration: Simultaneous Localization and Mapping (SLAM)." In Computer Vision. Springer US, 2014. http://dx.doi.org/10.1007/978-0-387-31439-6_280.

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Konferenzberichte zum Thema "Exploration and mapping"

Fredriksson, Scott, Akshit Saradagi, and George Nikolakopoulos. "Robotic Exploration through Semantic Topometric Mapping." In 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024. http://dx.doi.org/10.1109/icra57147.2024.10610585.

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Yana, Charles, William Rapin, Sylvestre Maurice, et al. "MicroLIBS: Elemental Micro-Mapping for Planetary Exploration." In IAF Space Exploration Symposium, Held at the 75th International Astronautical Congress (IAC 2024). International Astronautical Federation (IAF), 2024. https://doi.org/10.52202/078357-0193.

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Fikri, Achmad Akmal, and Nobutomo Matsunaga. "Autonomous Exploration System for Visual Mapping by Enhancing Path Planning and Exploration Strategy." In 2024 6th International Conference on Control and Robotics (ICCR). IEEE, 2024. https://doi.org/10.1109/iccr64365.2024.10927505.

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Tian, Xinyu, Yinan Deng, Yujie Tang, et al. "SAME: Ground-Air Collaborative Semantic Active Mapping and Exploration." In 2024 IEEE International Conference on Unmanned Systems (ICUS). IEEE, 2024. https://doi.org/10.1109/icus61736.2024.10839908.

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Zhang, Bo, Lin Wang, and Bo Yang. "Improving OPT-GAN by Smooth Scale Mapping and Adaptive Exploration." In 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 2024. http://dx.doi.org/10.1109/ijcnn60899.2024.10649911.

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Filgas, Robert. "Miniature Semiconductor Water Mapping Neutron Spectrometer HardPix." In IAF Space Exploration Symposium, Held at the 75th International Astronautical Congress (IAC 2024). International Astronautical Federation (IAF), 2024. https://doi.org/10.52202/078357-0229.

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Ermini, Andrea, Riccardo Salvini, and Pier Simone Marrocchesi. "LANDSLIDE SUSCEPTIBILITY MAPPING IN LUNAR SOUTH POLE RIGION." In SGEM International Multidisciplinary Scientific GeoConference 24. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/6.1/s28.65.

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The study addresses a challenge in planetary exploration, focusing on landslide susceptibility on the Lunar South Pole Region (LSPR), fundamental for future lunar missions. Features like permanently shadowed regions and water ice deposits attract scientific attention but issues related to rugged terrain and dynamic geological processes must also to be considered. The photointerpretation of data from Lunar Reconnaissance Orbiter (LRO) mission, allowed to create a landslides inventory map. The Frequency Ratio (FR) model was applied to generate a landslide susceptibility map (LSM). Geological and morphological factors were derived from existing maps and LRO data. Peak Ground Acceleration (PGA) variation and epicentral distance were used to define seismic hazard zones. LSM accuracy was evaluated using the Area Under the Curve (AUC) method. The study allows to identify geological formations susceptible to seismic-induced landslides, aiding site selection for future lunar missions. This interdisciplinary approach integrates planetary geology, remote sensing, and GIS software and it contributes to lunar exploration and exploitation for scientific and resource purposes allowing to optimize the Moon involvement in solar system exploration.

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Sun, Yuanbin, Peng Zhang, Lei Wang, et al. "Application of CSAMT and microtremor exploration to geothermal resource assessment in Qufu Haitang Town." In Sixth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2024), edited by Zhiliang Qin, Jun Chen, and Huaichun Wu. SPIE, 2025. https://doi.org/10.1117/12.3057652.

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Joshi, Bharat, Marios Xanthidis, Monika Roznere, et al. "Underwater Exploration and Mapping." In 2022 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV). IEEE, 2022. http://dx.doi.org/10.1109/auv53081.2022.9965805.

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Dirafzoon, Alireza, Edgar Lobaton, and Alper Bozkurt. "Exploration and topological mapping with Hexbugs." In the 14th International Conference. ACM Press, 2015. http://dx.doi.org/10.1145/2737095.2737137.

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Berichte der Organisationen zum Thema "Exploration and mapping"

Davis, Cleve, Rohit Gandhi Mendadhala, Christopher Forsgren, et al. Mapping Support for Targeted Critical Minerals Exploration and Extraction. Office of Scientific and Technical Information (OSTI), 2024. https://doi.org/10.2172/2496275.

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Christie, Benjamin, Osama Ennasr, and Garry Glaspell. Autonomous navigation and mapping in a simulated environment. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42006.

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Unknown Environment Exploration (UEE) with an Unmanned Ground Vehicle (UGV) is extremely challenging. This report investigates a frontier exploration approach, in simulation, that leverages Simultaneous Localization And Mapping (SLAM) to efficiently explore unknown areas by finding navigable routes. The solution utilizes a diverse sensor payload that includes wheel encoders, three-dimensional (3-D) LIDAR, and Red, Green, Blue and Depth (RGBD) cameras. The main goal of this effort is to leverage frontier-based exploration with a UGV to produce a 3-D map (up to 10 cm resolution). The solution provided leverages the Robot Operating System (ROS).

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Batterson, M., and P. Legrow. Quaternary Exploration and Surficial Mapping in the Letitia Lake area, Labrador. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1986. http://dx.doi.org/10.4095/121090.

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Paterson, N. R., and S. W. Reford. Inversion of Airborne Electromagnetic Data For Overburden Mapping and Groundwater Exploration. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1986. http://dx.doi.org/10.4095/122345.

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Larson, Jacoby, Brian Okorn, Tracy Pastore, David Hooper, and Jim Edwards. Counter Tunnel Exploration, Mapping, and Localization with an Unmanned Ground Vehicle. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada607907.

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Ennasr, Osama, Brandon Dodd, Michael Paquette, Charles Ellison, and Garry Glaspell. Low size, weight, power, and cost (SWaP-C) payload for autonomous navigation and mapping on an unmanned ground vehicle. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47683.

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Autonomous navigation and unknown environment exploration with an unmanned ground vehicle (UGV) is extremely challenging. This report investigates a mapping and exploration solution utilizing low size, weight, power, and cost payloads. The platform presented here leverages simultaneous localization and mapping to efficiently explore unknown areas by finding navigable routes. The solution utilizes a diverse sensor payload that includes wheel encoders, 3D lidar, and red-green-blue and depth cameras. The main goal of this effort is to leverage path planning and navigation for mapping and exploration with a UGV to produce an accurate 3D map. The solution provided also leverages the Robot Operating System.

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Baker, Alison, and Lutfiye Ali. Mapping young people’s social justice concerns: An exploration of voice and action. Centre for Resilient and Inclusive Societies, 2022. http://dx.doi.org/10.56311/hbnb8239.

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This report is the first phase of a two-phase action research project titled Building Activist Capacities of Young People Through Issue-based Campaigns. The report explores key social issues facing young people aged 16 to 25 in Victoria, Australia, and examines how they respond to these issues. This study aims to better understand young people’s experiences of voice, the contexts and conditions in which they can cultivate their voices for social change, and where their voices resonate.

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Tellei, Adeeshia, King Sam, Megan Cook, et al. Omesubel a Nautilus - Ocean Exploration Vocabulary in Palauan Language. Ocean Exploration Trust, 2024. http://dx.doi.org/10.62878/bgj821.

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This learning resource includes a glossary of ocean exploration and technology terms in Palauan language along with their definitions and translations into English. It was developed in support of Lebuu’s Voyage I & II — the 2024 deep ocean exploration expeditions aboard E/V Nauutilus led by Ocean Exploration Trust, Palau International Coral Reef Center, and NOAA Ocean Exploration in the Palau National Marine Sanctuary. Its contents are certified by the Palau Language Commission. The Lebuu’s Voyage expeditions were funded by NOAA Ocean Exploration via the Ocean Exploration Cooperative Institute as a contribution to the US government commitment to support the mapping of the Palau National Marine Sanctuary.

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Budkewitsch, P., and M. D'Iorio. Advantages of satellite stereograms over monoscopic images from RADARSAT-1 for geological mapping and exploration. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2000. http://dx.doi.org/10.4095/219752.

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Kerr, B., F. Ferbey, and V. M. Levson. Northeast British Columbia surficial geology and aggregate mapping program: Implementing geomatics technology for aggregate exploration. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2005. http://dx.doi.org/10.4095/220950.

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