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Thematische Bibliographien / Exploration and mapping / Zeitschriftenartikel

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Zeitschriftenartikel zum Thema „Exploration and mapping“

Autor: Grafiati

Veröffentlicht am 25. Mai 2024

Zuletzt aktualisiert am 31. Juli 2025

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1

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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3

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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4

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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5

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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6

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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7

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 simultaneou

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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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9

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

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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 (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

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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 (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

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Lluvia, Iker, Elena Lazkano, and Ander Ansuategi. "Active Mapping and Robot Exploration: A Survey." Sensors 21, no. 7 (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 p

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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 improvis

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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 (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 (2013): 62–70. http://dx.doi.org/10.1145/2428556.2428574.

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Thrun, S., S. Thayer, W. Whittaker, et al. "Autonomous exploration and mapping of abandoned mines." IEEE Robotics & Automation Magazine 11, no. 4 (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 (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, et al. "Distributed multirobot exploration, mapping, and task allocation." Annals of Mathematics and Artificial Intelligence 52, no. 2-4 (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 (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, resultin

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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 (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

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Wu, Rongren. "Cooperative SLAM Algorithm for Multi-AUV Underwater Exploration and Mapping." Applied and Computational Engineering 100, no. 1 (2024): 130–43. http://dx.doi.org/10.54254/2755-2721/2025.17850.

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SLAM (Simultaneous Localisation and Mapping) is very important in the task of mapping unknown deep-sea environments. This paper proposes an AUV cluster SLAM algorithm to improve the efficiency of SLAM mapping and navigation. The algorithm includes three main parts: (1) multi-beam sonar image processing algorithm, which detects and eliminates dynamic points while removing redundant information. (2) Combining DVL (Doppler Velocity Log), IMU (Inertial Measurement Unit) and DM (Depth Meter) data, SLAM is performed based on a Rao-Blackwellised particle filter (RBPF ). (3) The innovative iUSBL (inve

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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 (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

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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 t

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Liu, Hong, Xiufen Ye, Hanwen Zhou, and Hanjie Huang. "A Mapping Method Fusing Forward-Looking Sonar and Side-Scan Sonar." Journal of Marine Science and Engineering 13, no. 1 (2025): 166. https://doi.org/10.3390/jmse13010166.

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In modern ocean exploration, forward-looking sonar (FLS) provides real-time 2D imaging of the seabed ahead, but its detection range is relatively limited. Conversely, side-scan sonar (SSS) enables large-scale imaging of the seabed during movement but struggles to effectively image areas directly beneath the sensor. Integrating FLS and SSS offers a promising solution by leveraging their complementary strengths to achieve comprehensive seabed mapping. However, no prior research has explored this fusion approach. This paper presents a novel method for FLS and SSS fusion mapping. Firstly, a novel

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Ren, Yan, Qiangqiang Zhang, Xinyu Chen, and Zhendong Shen. "An autonomous robot mapping method based on boundary point optimization and map partition exploration." Journal of Physics: Conference Series 3019, no. 1 (2025): 012087. https://doi.org/10.1088/1742-6596/3019/1/012087.

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Abstract The proposed methodology is an autonomous mapping technique founded on frontier point optimization and map partition exploration. The objective of this methodology is twofold: first, to reduce the robot’s movement path during autonomous mapping, and second, to minimize repeated exploration of the same area. Initially, candidate exploration points are generated by clustering frontier points, which are then subjected to evaluation, and the optimal target point is ascertained based on the evaluation outcomes, the current map partition information, and the map exploration progress. The va

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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 (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 au

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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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Pankade, Sandeep, and Ashish Mohture. "Unlocking Potential: A Conceptual Exploration of Competency Mapping Methodology and its Multifaceted Benefits." International Journal of Research Publication and Reviews 6, no. 5 (2025): 5051–58. https://doi.org/10.55248/gengpi.6.0525.1746.

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Ly Ngoc Toan. "The Semantics of Stative Locative Events in Vietnamese: A Spatial Exploration." International Journal of Linguistics Studies 1, no. 2 (2021): 77–96. http://dx.doi.org/10.32996/ijls.2021.1.2.11.

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This study investigates stative locative event semantics in Vietnamese using mathematical formalism, categorizing events as bijective or surjective based on Figure-Ground argument mapping. Building on Figure/Ground semantics (Talmy, 1975), event structure (Jackendoff, 1990), and predicate syntax (Nam, 1995), bijectives denote one-to-one argument mappings while surjectives permit one argument to map to multiple others. Through analysis of Vietnamese sentences, the study shows bijectives unambiguously localize Figures and Grounds in a one-to-one manner, contrasting with the flexibility of surjec

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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 (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

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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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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 (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 (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 (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 (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 (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 (2013): 263–73. http://dx.doi.org/10.1080/17445647.2013.776506.

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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 (2015): 538–47. http://dx.doi.org/10.5951/teacchilmath.21.9.0538.

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Defays, Daniel. "Exploration of Trans-Sensory Mappings." Art and Perception 5, no. 1 (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

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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 (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 im

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Wahyudi, Wahyudi, Taufiq Taufiq, and Muhammad Iqbal. "Tailored Drone-Magnetometer Design for Geothermal Exploration." International Journal of Research and Innovation in Applied Science IX, no. XI (2024): 644–49. https://doi.org/10.51584/ijrias.2024.911046.

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Geothermal fields, often nestled in mountainous regions with challenging topography and dense vegetation, can be difficult to access for direct ground measurements. To overcome these obstacles, the magnetic method offers a viable geophysical approach for geothermal exploration. Leveraging advanced technology, Unmanned Aerial Vehicles (UAVs) equipped with magnetometers can provide faster than land magnetometer, more accurate with high sensor accuracy, and efficient magnetic mapping use flight control tracking, making them an invaluable tool for achieving operational targets. This article presen

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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 (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,

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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 (2024): 592–601. https://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,

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Rajagopal, Harini, and Monica Shank Lauwo. "Mapping Literacies, Mapping Selves." TESL Canada Journal 41, no. 1 (2024): 27–53. http://dx.doi.org/10.18806/tesl.v41i1/1398.

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Rooted in commitments to racial and linguistic justice, this study examines possibilities for multimodal autobiographical storytelling to support teacher candidates (TCs) to consider linguistic and racial injustices through engaging with their own raciolinguicized subjectivities. Theorising with critical multilingual awareness (CMLA), understandings of raciolinguicized subjectivities, and racial literacy, we inquire how processes of multimodal autobiographical storytelling can nurture dispositions and practices of CMLA and antiracism. Drawing from a four-year critical action research study, we

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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 (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 c

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