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Artículos de revistas sobre el tema "Exploration and mapping"

Autor: Grafiati

Publicado: 25 de mayo de 2024

Última modificación: 22 de junio de 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 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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8

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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10

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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11

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 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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12

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 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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13

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 provided, targeting the most relevant contributions in indoor mobile robotics.

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14

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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15

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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16

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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17

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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18

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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19

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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20

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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21

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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22

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, 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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23

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 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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24

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 (inverted ultra-short baseline) system is used to realise the cooperative positioning between the master and slave AUVs. The multi-AUV underwater detection and mapping collaborative SLAM algorithm proposed in this paper not only significantly improves the mapping efficiency in unknown deep-sea environments but also effectively suppresses the errors introduced by dynamic points and ensures stable SLAM performance. Compared with a single AUV, the efficiency of mapping is significantly improved.

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25

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 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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26

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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27

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 sonar image enhancement method based on equalization is proposed, enabling simultaneous enhancement and grayscale unification of two sonar images. Additionally, an effective area extraction approach for FLS images, grounded on the approximate erosion method, is introduced to produce high-quality FLS mapping. Furthermore, by examining the data distribution in FLS and SSS mappings, the standard deviation of these datasets is utilized to refine the grayscale distribution of FLS mapping, thereby enhancing the grayscale distribution similarity between the two mapping results. Finally, FLS map data are seamlessly integrated into the gaps of the SSS map, resulting in a fused, comprehensive seabed representation. Large-scale experiments demonstrate that the proposed method effectively combines the strengths of FLS and SSS, producing complete and detailed seabed topography maps. Simultaneously, numerous ablation experiments are conducted to evaluate the impact of various parameters on fusion mapping, providing guidelines for selecting the optimal parameters. This fusion approach, thus, holds significant practical value for ocean exploration and seabed mapping applications.

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28

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 validity of the proposed algorithm is substantiated through both simulation and real-world scenarios.

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29

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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30

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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31

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 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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32

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 surjectives allowing single Figures to map onto multiple Grounds. This novel bijective/surjective distinction advances understanding of locative event typologies and provides an explanatory model for cross-linguistic analysis. Scrutinizing Figure-Ground mapping as bijective/surjective functions elucidates fundamental differences in stative locative semantics, furthering comprehension of how language encodes static spatial relations through the complex interplay of verbal semantics and argument structure. This integrated formal semantic approach combining predicate logic, set theory and lexical syntax has significant applications in theoretical and computational linguistics, and cognitive science.

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33

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 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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34

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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35

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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37

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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38

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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39

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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40

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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41

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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42

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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43

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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44

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 given.

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45

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 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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46

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 presents the design of a drone magnetometer using a custom-built UAV for magnetic mapping in geothermal fields. This method validated by acquisition in the same place and time with land magnetometer, have a same pattern anomaly. The UAV is specifically designed with a large payload capacity (6-8 kg) and extended flight duration (>60 minutes). It is equipped with a 3-Axis Fluxgate Magnetometer FGM3D/100 from Sensys, which has a measurement range of ±100 µT. The designed system was validated using a PPM scalar magnetometer from GEOTRON, with highly satisfactory results, suggesting it is well-suited for practical geomagnetic mapping in geothermal fields.

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47

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 examine how four multimodal activities in language-related coursework supported TCs to interrogate the role of race and language in their life stories, education, and society. The multimodal activities include: (1) three-part multiliteracies autobiographies; (2) collaborative literacy life mapping; (3) racial literacy exploration; and (4) reflective drawings. Findings demonstrate how multimodal autobiographical activities enable TCs to creatively and critically story their identities and learning journeys, while denaturalizing raciolinguistic ideologies. Findings also highlight relative affordances and constraints in individual versus collaborative processes of reflective storying; and the significance of compassionate listening as both process and aspiration of critical multilingual antiracist pedagogy. Implications centre on generative possibilities of multimodal autobiographical storytelling to support TCs to disrupt systemic racism and settler colonialism in language education. La présente étude, ancrée dans un engagement envers la justice raciale et linguistique, examine les possibilités qu’offre le récit autobiographique multimodal pour aider les futurs enseignants à prendre en compte les injustices linguistiques et raciales alors qu’ils s’engagent dans leurs propres subjectivités raciales et linguistiques. En adoptant comme bases théoriques la conscience multilingue critique, la compréhension des subjectivités raciales et linguistiques et la littératie raciale, nous nous demandons comment le processus de narration autobiographique multimodale peut favoriser les tendances et les pratiques de la conscience multilingue critique et de l’antiracisme. En nous appuyant sur une étude de recherche-action critique ayant duré quatre ans, nous examinons comment quatre activités multimodales dans les cours de langue ont aidé les futurs enseignants à interroger le rôle de la race et de la langue dans leurs histoires de vie, leur éducation et leur société. Les activités multimodales consistaient en (1) des autobiographies de multilittératies en trois parties; (2) une cartographie collaborative de la vie et de la littératie; (3) une exploration de la littératie raciale; et (4) des dessins réflexifs. Les résultats montrent comment les activités autobiographiques multimodales permettent aux futurs enseignants de raconter de manière créative et critique leurs identités et leurs parcours d’apprentissage, tout en déconstruisant les idéologies raciales et linguistiques. Les résultats mettent également en évidence les possibilités et les contraintes relatives aux processus individuels et collaboratifs de narration réflexive, ainsi que l’importance de l’écoute compatissante en tant que processus et but de la pédagogie multilingue critique et antiraciste. Les implications se concentrent sur les possibilités génératives des récits autobiographiques multimodaux pour soutenir de futurs enseignants à perturber le racisme systémique et le colonialisme dans le domaine de l’enseignement des langues.

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48

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, 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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49

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, 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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50

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 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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