Journal articles: 'Exploration and mapping'

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Schall, Janine M. "Cultural Exploration Through Mapping." Social Studies 101, no. 4 (June 29, 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 (November 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 (June 1, 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 (July 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 (June 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 (May 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 (July 7, 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 (November 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 (January 2007): 73–85. http://dx.doi.org/10.1016/j.cviu.2006.08.005.

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Feng, Ao, Yuyang Xie, Yankang Sun, Xuanzhi Wang, Bin Jiang, and Jian Xiao. "Efficient Autonomous Exploration and Mapping in Unknown Environments." Sensors 23, no. 10 (May 15, 2023): 4766. http://dx.doi.org/10.3390/s23104766.

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Autonomous exploration and mapping in unknown environments is a critical capability for robots. Existing exploration techniques (e.g., heuristic-based and learning-based methods) do not consider the regional legacy issues, i.e., the great impact of smaller unexplored regions on the whole exploration process, which results in a dramatic reduction in their later exploration efficiency. To this end, this paper proposes a Local-and-Global Strategy (LAGS) algorithm that combines a local exploration strategy with a global perception strategy, which considers and solves the regional legacy issues in the autonomous exploration process to improve exploration efficiency. Additionally, we further integrate Gaussian process regression (GPR), Bayesian optimization (BO) sampling, and deep reinforcement learning (DRL) models to efficiently explore unknown environments while ensuring the robot’s safety. Extensive experiments show that the proposed method could explore unknown environments with shorter paths, higher efficiencies, and stronger adaptability on different unknown maps with different layouts and sizes.

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Chen, Weinan, Lei Zhu, Li He, Yisheng Guan, and Hong Zhang. "Reliable Visual Exploration System with Fault Tolerance Structure." Applied Sciences 9, no. 4 (February 15, 2019): 662. http://dx.doi.org/10.3390/app9040662.

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Reliability of visual tracking and mapping is a challenging problem in robotics research, and it limits the promotion of vision-based mobile robot applications to a great extent. In this paper, we propose to improve the reliability of visual exploration in terms of its fault tolerance. Three modules are involved in our visual exploration system: visual localization and mapping, active controller and termination condition. High maintainability of mapping is obtained by the submap-based visual mapping module, persistent driving is achieved by a semantic segmentation based active controller, and robustness of re-localization is guaranteed by a novel completeness evaluation method in the termination condition. All the modules are integrated tightly for maintaining mapping and improving visual tracking. The system is verified with simulations and real world experiments, and all the solutions to fault tolerance are verified to overcome the failure conditions of visual tracking and mapping.

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Lluvia, Iker, Elena Lazkano, and Ander Ansuategi. "Active Mapping and Robot Exploration: A Survey." Sensors 21, no. 7 (April 2, 2021): 2445. http://dx.doi.org/10.3390/s21072445.

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Simultaneous localization and mapping responds to the problem of building a map of the environment without any prior information and based on the data obtained from one or more sensors. In most situations, the robot is driven by a human operator, but some systems are capable of navigating autonomously while mapping, which is called native simultaneous localization and mapping. This strategy focuses on actively calculating the trajectories to explore the environment while building a map with a minimum error. In this paper, a comprehensive review of the research work developed in this field is provided, targeting the most relevant contributions in indoor mobile robotics.

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O'Hara, William. "Mapping Sound." Journal of Sound and Music in Games 1, no. 3 (2020): 35–67. http://dx.doi.org/10.1525/jsmg.2020.1.3.35.

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Each playthrough of Ed Key and David Kanaga's Proteus (2013) presents players with a new, randomly generated island to explore. This unstructured exploration is accompanied by a procedurally generated ambient soundtrack that incorporates both harmonic textures and melodic motives, and abstract musical representations of environmental sounds. In the absence of clearly defined goals—except to progress through four distinct “seasons” of the game—the player's relationship to the soundtrack becomes a core gameplay element, and a playthrough of Proteus becomes, among other things, a kind of improvised performance art. Viewed from this perspective, Proteus's combination of free exploration and chance strongly evokes ideas from mid-twentieth-century musical modernism, including the graphic scores of Cardew and Cage and the “mobile form” works of Stockhausen and Ligeti. Proteus further complicates analysis by concealing the mechanisms that produce particular musical fragments and by eliding the roles of listener and player/performer. This article examines the tensions inherent in the complementary actions of playing/performing Proteus and listening to/analyzing it, and argues that the game challenges the distinctions between creator, performer, and observer by vividly embodying the most deeply ingrained metaphors of music analysis.

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Runte, Alfred, and Jenny Marie Johnson. "Exploration and Mapping of the National Parks." Western Historical Quarterly 26, no. 3 (1995): 393. http://dx.doi.org/10.2307/970681.

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Fairfield, Nathaniel, George Kantor, Dominic Jonak, and David Wettergreen. "Autonomous Exploration and Mapping of Flooded Sinkholes." International Journal of Robotics Research 29, no. 6 (September 28, 2009): 748–74. http://dx.doi.org/10.1177/0278364909344779.

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Olson, Edwin, Johannes Strom, Rob Goeddel, Ryan Morton, Pradeep Ranganathan, and Andrew Richardson. "Exploration and mapping with autonomous robot teams." Communications of the ACM 56, no. 3 (March 2013): 62–70. http://dx.doi.org/10.1145/2428556.2428574.

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Thrun, S., S. Thayer, W. Whittaker, C. Baker, W. Burgard, D. Ferguson, D. Hannel, et al. "Autonomous exploration and mapping of abandoned mines." IEEE Robotics & Automation Magazine 11, no. 4 (December 2004): 79–91. http://dx.doi.org/10.1109/mra.2004.1371614.

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STRICKBERGER, S. "Pericardial Space Exploration for Ventricular Tachycardia Mapping:." Journal of Cardiovascular Electrophysiology 7, no. 6 (June 1996): 537–38. http://dx.doi.org/10.1111/j.1540-8167.1996.tb00560.x.

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于, 习法. "About Exploration, Mapping, Repair of Wenfeng Tower." Hans Journal of Civil Engineering 02, no. 01 (2013): 55–61. http://dx.doi.org/10.12677/hjce.2013.21010.

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Vincent, Regis, Dieter Fox, Jonathan Ko, Kurt Konolige, Benson Limketkai, Benoit Morisset, Charles Ortiz, Dirk Schulz, and Benjamin Stewart. "Distributed multirobot exploration, mapping, and task allocation." Annals of Mathematics and Artificial Intelligence 52, no. 2-4 (April 2008): 229–55. http://dx.doi.org/10.1007/s10472-009-9124-y.

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Deshmukh, Sarthak, Yash Kondekar, and Ronak Nikam. "OCEAN EXPLORATION AND ITS PROCESS OF MAPPING." International Journal of Engineering Applied Sciences and Technology 7, no. 7 (November 1, 2022): 115–24. http://dx.doi.org/10.33564/ijeast.2022.v07i07.021.

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In early times with the growth of imperialism and colonization and to explore dated back times many capitalist and colonist nations underwent many discoveries of new places. Voyages by Christopher Columbus, Ferdinand Magellan, etc. were undertaken to explore the globe which resulted in the advancement and development of cartography, shipping and trade industries with the routes fixtures. The examination of the ocean and ocean surfaces is referred to as ocean studies. Deep-sea exploration is the study of physical or chemical changes on the sea floor and other conditions that impact it, resulting in scientific or commercial surveys. It is both a new human activity and one that is linked to other aspects of geophysical topographic research. Due to technological inadequacy, the ocean depths still contain a large portion of the world that is largely undiscovered. We use multi-beam sonars with additional sensors in exploration and mapping. Difficulties humans encountered while discovering and addressing deep-sea problems provide the pathway for new allowing us to respond more excellently to ocean problems such as oil spills and overfishing, ocean acidification, and so on. Ocean investigation stimulates greatly the minds of researchers and excites them to seek out careers in science marine engineering and research. A great cultural habitat can be set in order by the study ofthe ocean and its exploration and detection with bathymetry data, AUV and ROV.

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Khan, Zehra, Tarun Sharma, Naiyara Khan, and Adil Ahmad Magray. "Soil exploration using ground penetrating radar." IOP Conference Series: Earth and Environmental Science 889, no. 1 (November 1, 2021): 012009. http://dx.doi.org/10.1088/1755-1315/889/1/012009.

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Abstract Geophysical methods are extensively utilized in the field of geology and in geotechnical engineering such as seismic, gravitational, magnetic and electromagnetic fields. These methods are used to locate or to understand conditions below the ground surface, and the physical properties of subsurface. GPR also known as Radio Detecting and Ranging is based on the electromagnetic waves. It is a specially designed radar unit for transmitting electromagnetic pulses below the ground instead of air. In GPR the medium is soil which is heterogeneous and has higher attenuation rate than air. This method is used to measure the length, depth or to locate the soil layers and its deposits. GPR is one of the most versatile sensors; it provides high resolution profiles for shallow depth. GPR has been used in diverse fields such as archaeology, non-destructive testing, probing underground caves, detecting landmines, mapping pipes and conduits, investigating the reinforcement and conditions of roads, bridges and airport runways, to name a few. Use of this technique/method is being extensively adopted from recent years because of its properties and vast applications. The main applications of GPR in subsurface mapping are: mapping of subsurface utility structures, detection and mapping of unexploded ordnance and mines, extraction of hazardous waste containers or unexploded ammunitions, maintenance or repair of subsurface structures. This paper presents an understanding of the concept or the need of GPR dedicated to civil engineering applications in general and in the field of geotechnical engineering in particular.

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Jayasekara, Peshala G., and Takashi Kubota. "1A2-H03 Cooperative SLAM Scheme for Planetary Exploration Rovers(Localization and Mapping (1))." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2013 (2013): _1A2—H03_1—_1A2—H03_4. http://dx.doi.org/10.1299/jsmermd.2013._1a2-h03_1.

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Silvianingsih, Silvianingsih, I. Nyoman Sudana Degeng, Triyono Triyono, and Carolina Ligya Radjah. "Utilizing Mind-Mapping to Foster Career Exploration of High School Students." Journal of Educational and Learning Studies 2, no. 1 (May 24, 2019): 25. http://dx.doi.org/10.32698/0462.

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This study aims to determine the effect of mind-mapping to enhance high school’s student career exploration in guidance group setting. This study use a single subject design with multiple baseline across subject models. The subjects of this study are eight (8) high school students in 10th grade. The data collection instruments in this study are the recording frequency of career exploration (sub components narrowing choices, specifies a vocational choice, and deciding an action implementation), career exploration skill instruments, and treatment instruments in the form of career guidance group guidebooks. The results shows that mind-mapping can be implemented to enhance the students career exploration skill, that is the all subjects’ first sub component exploration skills (narrowing choices) in group data shows average baseline 13.27 increased to 30.86; the second sub component (specifies a vocational choice) shows average baseline 9.67 increased to 22.18; and the third sub component (deciding an action implementation) shows average baseline 13.42 increased to 20.26. The results affirm that the use of mind-mapping is effective to enhance the exploration skills of high school students.

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Zeng, Zhen Hua. "The Primary Exploration for the Using of South CASS7.0 Mapping System Drawing Profile Map." Advanced Materials Research 243-249 (May 2011): 26–31. http://dx.doi.org/10.4028/www.scientific.net/amr.243-249.26.

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Southern surveying and mapping instruments company CASS terrain, cadastral mapping software is based on AutoCAD platform technology of digital mapping data acquisition system. Widely used to terrain mapping, cadastral mapping, engineering survey three major areas of application, by using terrain mapping, cadastral mapping software of CASS7.0,the author explored a method about using terrain mapping, cadastral mapping software of CASS7.0 to drawing profile map, through the application for line project theoretical and practical research to achieve the desired effect, solved the problem by using terrain mapping, cadastral mapping software of CASS7.0.

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Nowak, S., T. Krüger, J. Matthaei, and U. Bestmann. "MARTIAN SWARM EXPLORATION AND MAPPING USING LASER SLAM." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1/W2 (August 16, 2013): 299–303. http://dx.doi.org/10.5194/isprsarchives-xl-1-w2-299-2013.

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Nieto-Granda, Carlos, John G. Rogers, and Henrik I. Christensen. "Coordination strategies for multi-robot exploration and mapping." International Journal of Robotics Research 33, no. 4 (February 20, 2014): 519–33. http://dx.doi.org/10.1177/0278364913515309.

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Todd, Jeremy G., Jamey S. Kain, and Benjamin L. de Bivort. "Systematic exploration of unsupervised methods for mapping behavior." Physical Biology 14, no. 1 (February 6, 2017): 015002. http://dx.doi.org/10.1088/1478-3975/14/1/015002.

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Garrido, S., L. Moreno, and D. Blanco. "Exploration and Mapping Using the VFM Motion Planner." IEEE Transactions on Instrumentation and Measurement 58, no. 8 (August 2009): 2880–92. http://dx.doi.org/10.1109/tim.2009.2016372.

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Martins, Luciana. "Geographical Exploration and the Elusive Mapping of Amazonia*." Geographical Review 102, no. 2 (April 1, 2012): 225–44. http://dx.doi.org/10.1111/j.1931-0846.2012.00144.x.

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Quilley, Geoff. "Introduction: mapping the art of travel and exploration." Journal of Historical Geography 43 (January 2014): 2–8. http://dx.doi.org/10.1016/j.jhg.2013.07.022.

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Tovar, Benjamín, Lourdes Muñoz-Gómez, Rafael Murrieta-Cid, Moisés Alencastre-Miranda, Raúl Monroy, and Seth Hutchinson. "Planning exploration strategies for simultaneous localization and mapping." Robotics and Autonomous Systems 54, no. 4 (April 2006): 314–31. http://dx.doi.org/10.1016/j.robot.2005.11.006.

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Teixeira, José, Helder I. Chaminé, José Martins Carvalho, Augusto Pérez-Alberti, and Fernando Rocha. "Hydrogeomorphological mapping as a tool in groundwater exploration." Journal of Maps 9, no. 2 (March 5, 2013): 263–73. http://dx.doi.org/10.1080/17445647.2013.776506.

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Mohd Shah, Hairol Nizam, Muhamad Afif Mat Yusoff, Zalina Kamis, Azhar Ahmad, Mohd Rizuan Baharon, and Mohd Ali Arshad. "Vision-based autonomous mapping and exploration on robot tracked vehicle." Bulletin of Electrical Engineering and Informatics 12, no. 6 (December 1, 2023): 3901–10. http://dx.doi.org/10.11591/eei.v12i6.5952.

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Vision based mapping is an emerging technology with decades of research advancements. The most famous mapping method available is silmuntaneous localization and mapping (SLAM) which provide an accurate map projected in a simulation. Unfortunately, SLAM requires an active sensor in order to acquire the data from its environment opposite the vision-based mapping which requires a passive sensor to collect data. This project aims to develop an autonomous mapping and exploration algorithm, design a controller for the robot-tracked vehicle and analyze the accuracy of the algorithm. The problem in autonomous mapping is precision, limitation of computational power and complex computation. So, the algorithm will be based on the visual odometer algorithm through a single-visual sensor. The robot tracker has also been designed and implemented on Raspberry Pi 3. The accuracy of two object with different height was calculated to ensure the validation of the algorithm being able to project the real object in 3D projection. The result for the task is shown in figures as to present the capability of the algorithm in projecting the map in 3D projection. The algorithm works as expected but still requires improvements to increase the precision of the map projection.

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Hunt, Paul. "Census Mapping Mashup." Cartographic Perspectives, no. 76 (October 27, 2014): 67–76. http://dx.doi.org/10.14714/cp76.1252.

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By mandate, the United States Census Bureau compiles and distributes data on the American population. Open data initiatives have made it possible for users to access and analyze data with simple web-based tools. A new method for requesting data from the Census Bureau is described here, along with two different mapping mashups. Using the technology described in this article, a simple web mapping interface could unlock vast amounts of available data for user exploration.

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Poling, Lisa L., Tracy Goodson-Espy, Chrystal Dean, Kathleen Lynch-Davis, and Art Quickenton. "Mapping the Way to Content Knowledge." Teaching Children Mathematics 21, no. 9 (May 2015): 538–47. http://dx.doi.org/10.5951/teacchilmath.21.9.0538.

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Ashour, Reem, Tarek Taha, Jorge Manuel Miranda Dias, Lakmal Seneviratne, and Nawaf Almoosa. "Exploration for Object Mapping Guided by Environmental Semantics using UAVs." Remote Sensing 12, no. 5 (March 10, 2020): 891. http://dx.doi.org/10.3390/rs12050891.

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This paper presents a strategy to autonomously explore unknown indoor environments, focusing on 3D mapping of the environment and performing grid level semantic labeling to identify all available objects. Unlike conventional exploration techniques that utilize geometric heuristics and information gain theory on an occupancy grid map, the work presented in this paper considers semantic information, such as the class of objects, in order to gear the exploration towards environmental segmentation and object labeling. The proposed approach utilizes deep learning to map 2D semantically segmented images into 3D semantic point clouds that encapsulate both occupancy and semantic annotations. A next-best-view exploration algorithm is employed to iteratively explore and label all the objects in the environment using a novel utility function that balances exploration and semantic object labeling. The proposed strategy was evaluated in a realistically simulated indoor environment, and results were benchmarked against other exploration strategies.

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Defays, Daniel. "Exploration of Trans-Sensory Mappings." Art and Perception 5, no. 1 (March 9, 2017): 97–119. http://dx.doi.org/10.1163/22134913-00002061.

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This paper explores the way music can be translated into a sequence of images. A general approach is described that associates various structures captured by different sense modalities. This approach is illustrated by examples from vision and audition. Music and sets of images are digitalized and represented as forms in multidimensional spaces. A mapping, which preserves the dissimilarities in each space, is then defined and an algorithm that can approximate the optimal fit is proposed. An example that maps a set of photos of different versions of the wire chair on various Mozart variations is given.

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Sun, Sheng, and Ping Shu. "Application of surveying and mapping technology based on deep learning model in petroleum geological exploration." 3C Tecnología_Glosas de innovación aplicadas a la pyme 12, no. 01 (March 31, 2023): 159–74. http://dx.doi.org/10.17993/3ctecno.2023.v12n1e43.159-174.

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Surveying and mapping technology is one of the key technologies used in petroleum geological exploration and has made significant contributions to geological exploration. However, with the development of science and technology, traditional surveying and mapping technology has low work efficiency and poor information accuracy, which limits its application. This study proposes a surveying and mapping technology based on the 1DCNN-LSTM deep learning model. Through feature selection and feature optimization, the important features extracted by 1DCNN are predicted through LSTM, and the development direction of surveying and mapping technology is optimized and predicted to promote the development of new surveying and mapping technologies. application. By using the orthogonal test to optimize the input factors, determine the relative order of the influence of the factors, and use the 1DCNN-LSTM and BP neural network to train and verify the input factors respectively. The research results show that 1DCNN-LSTM has higher prediction accuracy, and the prediction accuracy is The results show that the 1DCNN-LSTM deep learning model used in the optimization of petroleum geological exploration and mapping technology in this study has strong practical significance.

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Loginov, D. S. "Implementing a web service for cartographic monitoring of the geological exploration field stage using open-source software." Geodesy and Cartography 991, no. 1 (February 20, 2023): 29–41. http://dx.doi.org/10.22389/0016-7126-2023-991-1-29-41.

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The author presents the results of a web service development aimed at implementing a conceptual model of field geophysical surveys mapping monitoring. The issues of adapting the open source software DBMS PostgreSQL and JavaScript library Leaflet for centralized data gathering, systematization, updating and cartographic visualization of the geological exploration’s field phase progress are considered. The web service was tested during the seismic acquisition at the license areas in the Russian Federation and the Republic of India. It was used as the main tool for spatial analysis of the field crews’ productivity and considering natural and anthropogenic objects that prevent the timely execution of planned volumes of topographic and geodetic and seismic surveys, as well as a means of communication between specialists and administrative decision making. The results of the approbation showed an increase in the efficiency of geological exploration works’ field phase cartographic support. The experience of using open source software, a systematic approach to forming the server space and storing information in the database presented in the article enables developing web-mapping of exploration work carried out simultaneously in several territories through different methods of geophysical exploration.

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MacNae, J., P. McGowan, and Y. Lamontagne. "Resistivity mapping using inductive sources." Exploration Geophysics 20, no. 2 (1989): 47. http://dx.doi.org/10.1071/eg989047.

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In electromagnetic (EM) exploration for conductive targets, measurements of the magnetic component or its time derivative have received more theoretical attention and practical application than have measurements of the electric component. However, the electric component can be shown to be particularly useful in the search for resistive zones not usually detected by the magnetic component. Normalized measurements of the surface voltage differences caused by the constant current induced at late time by the UTEM transmitter are called 'Inductive Source Resistivity' or ISR measurements.Data collected on a grid located just south of the Temora gold mine in N.S.W. clearly show the effectiveness of the ISR technique in detecting a resistive zone of silicification located unconformably under 10S of conductive cover. Due to the relatively slow falloff of the electric field from an inductive source, the technique is ideal for the rapid exploration of large areas.

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Tolentino, Anjela Cabrera, and Thelma D. Palaoag. "Precision agriculture: exploration of deep learning models for farmland mapping." Indonesian Journal of Electrical Engineering and Computer Science 34, no. 1 (April 1, 2024): 592. http://dx.doi.org/10.11591/ijeecs.v34.i1.pp592-601.

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Precision is required for agricultural advancements to be sustainable. Traditional farming lacks effective monitoring, resulting in resource waste and environmental problems. Farmland mapping is important for agricultural management and land-use planning. The use of deep learning techniques in farmland mapping is increasing rapidly. Excellent results have been generated from deep learning approaches in a number of applications, such as image processing and prediction. Agricultural agencies are now considering different applications of deep learning including land mapping, crop classification, and monitoring of paddy fields. This paper shall explore different deep learning models that are commonly used for image processing specifically in land mapping. The three deep learning models convolutional neural network (CNN), long short-term memory (LSTM), and recurrent neural network (RNN) were evaluated to find out which among the deep learning models is best for land mapping. It compares the classification accuracy of the models on image processing and it can be concluded that CNN algorithm normally makes better results when compared to other deep learning models. This study offers guideline and suggestions to researchers who are interested in contributing to the field of precision agriculture with the used of deep learning techniques.

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Smith, Robert J. "Geophysics in Australian mineral exploration." GEOPHYSICS 50, no. 12 (December 1985): 2637–65. http://dx.doi.org/10.1190/1.1441888.

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I review a variety of recent case histories illustrating the application of geophysics in mineral exploration in Australia. Geophysics is now an integral part of most programs. Examples are given of contributions by geophysics to all stages of mineral exploration, from regional area selection through to mine planning and development. Specific case histories summarized are as follows: (a) Olympic Dam copper‐uranium‐gold deposit, discovered using a conceptual genetic model and regional geophysical data; (b) Ellendale diamondiferous kimberlites, illustrating the use of low level, detailed airborne magnetics; (c) Ranger uranium orebodies, discovered by detailed airborne radiometric surveys; (d) geologic mapping near Mary Kathleen with color displays of airborne radiometric data; (e) mapping of lignite in basement depressions of the Bremer Basin, near Esperance, with INPUT; (f) White Leads, a lead‐zinc sulfide deposit discovered with induced polarization (IP) and TEM, near Broken Hill; (g) Hellyer, a lead‐zinc‐silver‐gold deposit discovered with UTEM; (h) application of geophysical logging near Kanmantoo; (i) Cowla Peak, a subbituminous steaming coal deposit mapped with ground TEM; and (j) Cook Colliery, where high‐resolution seismic reflection methods have successfully increased the workable reserves.

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Jackisch, Robert, Sandra Lorenz, Moritz Kirsch, Robert Zimmermann, Laura Tusa, Markku Pirttijärvi, Ari Saartenoja, et al. "Integrated Geological and Geophysical Mapping of a Carbonatite-Hosting Outcrop in Siilinjärvi, Finland, Using Unmanned Aerial Systems." Remote Sensing 12, no. 18 (September 15, 2020): 2998. http://dx.doi.org/10.3390/rs12182998.

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Mapping geological outcrops is a crucial part of mineral exploration, mine planning and ore extraction. With the advent of unmanned aerial systems (UASs) for rapid spatial and spectral mapping, opportunities arise in fields where traditional ground-based approaches are established and trusted, but fail to cover sufficient area or compromise personal safety. Multi-sensor UAS are a technology that change geoscientific research, but they are still not routinely used for geological mapping in exploration and mining due to lack of trust in their added value and missing expertise and guidance in the selection and combination of drones and sensors. To address these limitations and highlight the potential of using UAS in exploration settings, we present an UAS multi-sensor mapping approach based on the integration of drone-borne photography, multi- and hyperspectral imaging and magnetics. Data are processed with conventional methods as well as innovative machine learning algorithms and validated by geological field mapping, yielding a comprehensive and geologically interpretable product. As a case study, we chose the northern extension of the Siilinjärvi apatite mine in Finland, in a brownfield exploration setting with plenty of ground truth data available and a survey area that is partly covered by vegetation. We conducted rapid UAS surveys from which we created a multi-layered data set to investigate properties of the ore-bearing carbonatite-glimmerite body. Our resulting geologic map discriminates between the principal lithologic units and distinguishes ore-bearing from waste rocks. Structural orientations and lithological units are deduced based on high-resolution, hyperspectral image-enhanced point clouds. UAS-based magnetic data allow an insight into their subsurface geometry through modeling based on magnetic interpretation. We validate our results via ground survey including rock specimen sampling, geochemical and mineralogical analysis and spectroscopic point measurements. We are convinced that the presented non-invasive, data-driven mapping approach can complement traditional workflows in mineral exploration as a flexible tool. Mapping products based on UAS data increase efficiency and maximize safety of the resource extraction process, and reduce expenses and incidental wastes.

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Min, Byung-Kwon, Dong Woo Cho, Sang-Jo Lee, and Young-Pil Park. "Exploration of a Mobile Robot Based on Sonar Probability Mapping." Journal of Dynamic Systems, Measurement, and Control 118, no. 1 (March 1, 1996): 150–57. http://dx.doi.org/10.1115/1.2801136.

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This paper suggests a new exploration strategy of an autonomous mobile robot in an unknown environment. Determination of a temporary goal based on a representation of work area named exploration quadtree is proposed. The exploration quadtree provides the information on quality of the regions concerned in a robot’s workspace. Using this quadtree the robot easily finds the next temporary goal that makes exploration more efficient. The quadtree is made up from a sonar probability map that is constructed by sonar range sensing and Bayesian probability theory. We then propose a method that plans a path between the determined temporary goals based on a probability map. The developed methods were implemented on a real mobile robot, AMROYS-II, which was built in our laboratory, and shown to be useful enough in a real environment that can be projected onto a two-dimensional space.

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Aktarakçi, Hasan Kâmil, Norman Harthill, and Mark W. Blohm. "Time‐domain electromagnetic survey for gold exploration, Nevada." GEOPHYSICS 62, no. 5 (September 1997): 1409–18. http://dx.doi.org/10.1190/1.1444245.

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A time‐domain electromagnetic (TDEM) sounding survey was carried out on the western basin‐range boundary of Smith Creek Valley, Nevada. The survey achieved its goal of mapping depth to volcanic basement along five traverses that crossed the boundary. In addition to mapping the electrical basement, the TDEM survey outlined significant cross faulting within the alluvium. Seventy five soundings were made over a five day period using a Geonics EM37 system that shows the usefulness and effectiveness of the TDEM technique to determine depth to electrical basement under heterogeneous range‐front alluvium.

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Palomeras, Narcís, Marc Carreras, and Juan Andrade-Cetto. "Active SLAM for Autonomous Underwater Exploration." Remote Sensing 11, no. 23 (November 28, 2019): 2827. http://dx.doi.org/10.3390/rs11232827.

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Exploration of a complex underwater environment without an a priori map is beyond the state of the art for autonomous underwater vehicles (AUVs). Despite several efforts regarding simultaneous localization and mapping (SLAM) and view planning, there is no exploration framework, tailored to underwater vehicles, that faces exploration combining mapping, active localization, and view planning in a unified way. We propose an exploration framework, based on an active SLAM strategy, that combines three main elements: a view planner, an iterative closest point algorithm (ICP)-based pose-graph SLAM algorithm, and an action selection mechanism that makes use of the joint map and state entropy reduction. To demonstrate the benefits of the active SLAM strategy, several tests were conducted with the Girona 500 AUV, both in simulation and in the real world. The article shows how the proposed framework makes it possible to plan exploratory trajectories that keep the vehicle’s uncertainty bounded; thus, creating more consistent maps.

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Garoui, Nassreddine, Raida Chakroun, and Ezzeddine Ben Mohamed. "Mapping environmental pollution disclosures in Tunisia." Environmental Economics 8, no. 2 (July 5, 2017): 67–75. http://dx.doi.org/10.21511/ee.08(2).2017.07.

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The aim of this paper is to examine the mental models of actors in Tunisian firms with respect to the environmental pollution. The authors use a cognitive map to observe these mental diagrams and to visualize ways to conceptualize the environmental pollution and to understand this concept through the presentation and analysis of the cognitive maps of Tunisian firm’s actors. Each actor’s systematic exploration grid shows a balance of concepts that expresses their cognitive orientation. Thus, the authors visualize the concepts (variables) that structure the cognitive universe of the actors, which is projected in terms of influences and dependencies. This research provides some lines of thought about environmental and pollution reporting that should be explored further. The research can only help to launch a debate on corporate accountability and transparency.

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Osipov, Ivan. "CONVEXITY OF REACHABLE SETS OF QUASILINEAR SYSTEMS." Ural Mathematical Journal 9, no. 2 (December 27, 2023): 141. http://dx.doi.org/10.15826/umj.2023.2.012.

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This paper investigates convexity of reachable sets for quasilinear systems under integral quadratic constraints. Drawing inspiration from B.T. Polyak's work on small Hilbert ball image under nonlinear mappings, the study extends the analysis to scenarios where a small nonlinearity exists on the system's right-hand side. At zero value of a small parameter, the quasilinear system turns into a linear system and its reachable set is convex. The investigation reveals that to maintain convexity of reachable sets of these systems, the nonlinear mapping's derivative must be Lipschitz continuous. The proof methodology follows a Polyak's scheme. The paper's structure encompasses problem formulation, exploration of parameter linear mapping and image transformation, application to quasilinear control systems, and concludes with illustrative examples.

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Fenner, David. "Mapping Approaches to Interpretation." Journal of Aesthetic Education 56, no. 1 (April 1, 2022): 28–43. http://dx.doi.org/10.5406/15437809.56.1.02.

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Abstract There are a variety of different approaches to understanding how to interpret a work of art. And there are a plurality of ways of understanding how those various approaches relate to, and differ from, one another. In this essay, I offer (1) an exploration of some of the similarities that popular contemporary approaches share and, (2) based on differences among interpretative approaches, three different ways of mapping those approaches.

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Journal articles on the topic 'Exploration and mapping'

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