Literatura académica sobre el tema "High-Precision Mapping"
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Artículos de revistas sobre el tema "High-Precision Mapping"
Tu, Xinyuan, Jian Zhang, Runhao Luo, Kai Wang, Qingji Zeng, Yu Zhou, Yao Yu y Sidan Du. "Reconstruction of High-Precision Semantic Map". Sensors 20, n.º 21 (3 de noviembre de 2020): 6264. http://dx.doi.org/10.3390/s20216264.
Texto completoWang, Qingshan, Jun Zhang, Yuansheng Liu y Xinchen Zhang. "High-Precision and Fast LiDAR Odometry and Mapping Algorithm". Journal of Advanced Computational Intelligence and Intelligent Informatics 26, n.º 2 (20 de marzo de 2022): 206–16. http://dx.doi.org/10.20965/jaciii.2022.p0206.
Texto completoLiu, Cong, Licheng Wang, Xiaopeng Liu y Zhihong Xu. "Iterative mapping for high-precision calibration and displacement measurements". Optik 248 (diciembre de 2021): 168195. http://dx.doi.org/10.1016/j.ijleo.2021.168195.
Texto completoHaas, Benedikt, Candice Thomas, Pierre-Henri Jouneau, Nicolas Bernier, Tristan Meunier, Philippe Ballet y Jean-Luc Rouvière. "High precision strain mapping of topological insulator HgTe/CdTe". Applied Physics Letters 110, n.º 26 (26 de junio de 2017): 263102. http://dx.doi.org/10.1063/1.4989822.
Texto completoIwakiri, Yuya y Toyohisa Kaneko. "High-precision texture mapping on 3D free-form objects". Electronics and Communications in Japan (Part II: Electronics) 89, n.º 9 (2006): 24–32. http://dx.doi.org/10.1002/ecjb.20302.
Texto completoCruz, Isabel F., Matteo Palmonari, Federico Caimi y Cosmin Stroe. "Building linked ontologies with high precision using subclass mapping discovery". Artificial Intelligence Review 40, n.º 2 (9 de noviembre de 2012): 127–45. http://dx.doi.org/10.1007/s10462-012-9363-x.
Texto completoBo, Zheng, Kaichang Di, Bin Liu, Jia Wang, Zhaoqin Liu, Xin Xin, Ziqing Cheng y Jinkuan Yin. "High-Precision Registration of Lunar Global Mapping Products Based on Spherical Triangular Mesh". Remote Sensing 14, n.º 6 (16 de marzo de 2022): 1442. http://dx.doi.org/10.3390/rs14061442.
Texto completoMostafa, M. M. R. "ACCURACY ASSESSMENT OF PROFESSIONAL GRADE UNMANNED SYSTEMS FOR HIGH PRECISION AIRBORNE MAPPING". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W6 (24 de agosto de 2017): 257–61. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w6-257-2017.
Texto completoLiu, Y., B. Liu, B. Xu, Z. Liu, K. Di y J. Zhou. "High Precision Topographic Mapping at Chang'E-3 Landing Site with Multi-Source Data". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-4 (23 de abril de 2014): 157–61. http://dx.doi.org/10.5194/isprsarchives-xl-4-157-2014.
Texto completoYoon, Dasol, Harikrishnan K.P., Yu-Tsun Shao y David A. Muller. "High-Speed, High-Precision, and High-Throughput Strain Mapping with Cepstral Transformed 4D-STEM Data". Microscopy and Microanalysis 28, S1 (22 de julio de 2022): 796–98. http://dx.doi.org/10.1017/s1431927622003592.
Texto completoTesis sobre el tema "High-Precision Mapping"
Stoven-Dubois, Alexis. "Robust Crowdsourced Mapping for Landmarks-based Vehicle Localization". Electronic Thesis or Diss., Université Clermont Auvergne (2021-...), 2022. http://www.theses.fr/2022UCFAC116.
Texto completoThe deployment of intelligent and connected vehicles, equipped with increasingly sophisticated equipment, and capable of sharing accurate positions and trajectories, is expected to lead to a substantial improvement of road safety and traffic efficiency. For this safety gain to become effective, vehicles will have to be accurately geo-positioned in a common reference, with an error up to a few decimeters [1]. To achieve this, they will be able to count on a variety of embedded sensors, such as GNSS (Global Navigation Satellite Systems) receivers, as well as additional proprioceptive and perception sensors. Nevertheless, in order to guarantee accurate positioning in all conditions, including in dense zones where GNSS signals can get degraded by multi-path effects, it is expected that vehicles will need to use precise maps of the environment to support their localization algorithms.To build maps of the main highways, major automotive actors have made use of dedicated fleets of vehicles equipped with high-end sensors. Because of the associated high operational costs, they have been operating a limited number of vehicles, and remain unable to provide live updates of the maps and to register entire road networks. Crowdsourced mapping represents a cost-effective solution to this problem, and has been creating interest among automotive players. It consists in making use of measurements retrieved by multiple production vehicles equipped with standard sensors in order to build a map of landmarks. Nevertheless, while this approach appears promising, its real potential to build an accurate map of landmarks and maintain it up-to-date remains to be assessed in realistic, long-term scenarios.In this thesis, in a first time, we propose a crowdsourced mapping solution based on triangulation optimization, and evaluate it using field-tests. The result analysis shows the potential of crowdsourced mapping to take advantage from measurements issued by multiple vehicles. On the other hand, it also indicates some critical limitations associated with triangulation optimization.Therefore, in a second time, we propose another crowdsourced mapping solution based on graph optimization, and we introduce different approaches to include and update the map within the optimization, which correspond to different trade-offs between the map quality and computational scalability. Simulation experiments are conducted in order to compare the different approaches. The results enable to identify the most efficient one, and to assert that it provides a scalable solution for crowdsourced mapping.The robustness of this solution to various types of noises, such as auto-correlated and biased noises, is then evaluated using extended simulation tests. The results analysis show its ability to build an accurate map of landmarks in various noises conditions, making use of measurements retrieved by multiple vehicles. Subsequently, field-tests are performed to confirm the results obtained in simulation, and draw conclusions both from a theoretical and practical viewpoint. Finally, the capacity of our crowdsourced mapping solution to increase the localization capabilities of vehicles is evaluated in simulation. The results show the effectiveness of the proposed approach to improve positioning performances in various conditions, while also pointing out the importance of providing a map with a sufficient density of landmarks
Colley, Richard T. III. "Development of a Machine Vision System for Mass Flow Sensing and High-Resolution Mapping of Granular Fertilizer Application". The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1543564969065918.
Texto completoPelcat, Yann S. "Soil landscape characterization of crop stubble covered fields using Ikonos high resolution panchromatic images". Thesis, Winnipeg : University of Manitoba, 2006. http://www.collectionscanada.ca/obj/s4/f2/dsk3/MWU/TC-MWU-224.pdf.
Texto completoA thesis submitted to the Faculty of Graduate Studies in partial fulfillment of the requirements for the degree of Master of Science, Department of Soil Science. Includes bibliographical references.
Libros sobre el tema "High-Precision Mapping"
Michel, Christoph M. y Bin He. EEG Mapping and Source Imaging. Editado por Donald L. Schomer y Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0045.
Texto completoCapítulos de libros sobre el tema "High-Precision Mapping"
Hanning, Tobias. "Modelling the camera mapping". En High Precision Camera Calibration, 5–26. Wiesbaden: Vieweg+Teubner, 2011. http://dx.doi.org/10.1007/978-3-8348-9830-2_2.
Texto completoGriffiths, Hugh. "Advances in Radar Altimetry Techniques for Topographic Mapping". En High Precision Navigation, 251–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74585-0_18.
Texto completoWehr, Aloysius. "3D-Mapping by a Semiconductor Laser Scanner, Description of an Experimental Setup". En High Precision Navigation, 469–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74585-0_35.
Texto completoHwang, C. S., W. C. Chou, J. H. Huang, M. Y. Lin, Tzuchu Chang y P. K. Tseng. "High Precision Automatic Magnetic Field Mapping System for the Dipole Magnet". En 11th International Conference on Magnet Technology (MT-11), 291–96. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0769-0_50.
Texto completoTu, Zhiming, Hao Fu y Zhenping Sun. "LiDAR-Based High-Precision Mapping and GNSS-Denied Localiztion for UAV". En Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022), 2977–87. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0479-2_275.
Texto completoGuo, Peng, Qingshan Wang, Zhan Cao y Haipeng Xia. "High Precision Odometer and Mapping Algorithm Based on Multi Lidar Fusion". En Proceedings of International Conference on Image, Vision and Intelligent Systems 2022 (ICIVIS 2022), 40–50. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0923-0_5.
Texto completoLi, Jindong. "Design and Analysis of High-Precision Stereo Surveying and Mapping Satellite System". En Space Science and Technologies, 227–63. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4871-0_6.
Texto completoBordatchev, E. V. "Analysis and Mapping of the Dynamic Performance of High-Precision Motion Systems". En Integrated Design and Manufacturing in Mechanical Engineering, 255–62. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-015-9966-5_30.
Texto completoJing, Huang, Amit Yadav, Asif Khan y Dakshina Yadav. "A High-Precision Pixel Mapping Method for Image-Sensitive Areas Based on SVR". En Advances in Intelligent Systems and Computing, 35–43. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6584-7_4.
Texto completoWan, Wenhui, Zhaoqin Liu y Kaichang Di. "A New Method for Real-Time High-Precision Planetary Rover Localization and Topographic Mapping". En Communications in Computer and Information Science, 215–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37149-3_26.
Texto completoActas de conferencias sobre el tema "High-Precision Mapping"
Doerry, Armin W. "High-precision stereoscopic 3D mapping accuracy". En Aerospace/Defense Sensing, Simulation, and Controls, editado por Edmund G. Zelnio. SPIE, 2001. http://dx.doi.org/10.1117/12.438240.
Texto completoSonneland, L. "High precision fluid mapping in compacting reservoirs". En EAGE/SEG Research Workshop on Reservoir Rocks - Understanding reservoir rock and fluid property distributions - measurement, modelling and applications. European Association of Geoscientists & Engineers, 2001. http://dx.doi.org/10.3997/2214-4609.201406713.
Texto completoGordon, Jonathan, Jerry Hobbs, Jonathan May y Fabrizio Morbini. "High-Precision Abductive Mapping of Multilingual Metaphors". En Proceedings of the Third Workshop on Metaphor in NLP. Stroudsburg, PA, USA: Association for Computational Linguistics, 2015. http://dx.doi.org/10.3115/v1/w15-1406.
Texto completoPrexl, Jonathan, Sudipan Saha y Michael Schmitt. "High Precision Mapping Of Building Changes Using Sentinel-2". En IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2023. http://dx.doi.org/10.1109/igarss52108.2023.10283173.
Texto completoWang, Fei y Miaole Hou. "Virtual restoration of Buddha statues based on high-precision 3D models". En Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), editado por Tarun Kumar Lohani. SPIE, 2023. http://dx.doi.org/10.1117/12.2668118.
Texto completoYang, Yue, Zhuqing Yuan, Shuangcai Liu, Wenyu Sun, Yongpan Liu y Sheng Zhang. "Deep compression for real-time high-precision SAR image ship detection". En 2023 4th International Conference on Geology, Mapping and Remote Sensing (ICGMRS 2023), editado por Yi Wang y Tao Chen. SPIE, 2024. http://dx.doi.org/10.1117/12.3021068.
Texto completowan, haoming, panpan tang, shi bai y xiaoyan luo. "High-precision mapping of smallholder rapeseed combining UAV imagery and deep learning". En 2023 4th International Conference on Geology, Mapping and Remote Sensing (ICGMRS 2023), editado por Yi Wang y Tao Chen. SPIE, 2024. http://dx.doi.org/10.1117/12.3021008.
Texto completoDing, Shulei, Zhuolu Hou, Jiaxun Jiang, Li Zhang y Yuxuan Liu. "High-Precision Geometric Positioning of Optical Satellite Images Assisted by LiDAR Data". En 2023 5th International Conference on Geoscience and Remote Sensing Mapping (GRSM). IEEE, 2023. http://dx.doi.org/10.1109/grsm60169.2023.10425585.
Texto completoBlank, Sebastian, Yantao Shen, Ning Xi, Chi Zhang y Uchechukwu C. Wejinya. "High precision PSD guided robot localization: Design, mapping, and position control". En 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, 2007. http://dx.doi.org/10.1109/iros.2007.4399621.
Texto completoHe, Chunjing, Angze Li, Lirong Qiu y Weiqian Zhao. "Three-dimensional high-precision mineral mapping using confocal controlled LIBS microscope". En Advanced Optical Imaging Technologies V, editado por P. Scott Carney, Xiao-Cong Yuan y Kebin Shi. SPIE, 2023. http://dx.doi.org/10.1117/12.2655745.
Texto completoInformes sobre el tema "High-Precision Mapping"
Gardner, J. N., A. Lavine, D. Vaniman y G. WoldeGabriel. High-precision geologic mapping to evaluate the potential for seismic surface rupture at TA-55, Los Alamos National Laboratory. Office of Scientific and Technical Information (OSTI), junio de 1998. http://dx.doi.org/10.2172/661496.
Texto completoLee, W. S., Victor Alchanatis y Asher Levi. Innovative yield mapping system using hyperspectral and thermal imaging for precision tree crop management. United States Department of Agriculture, enero de 2014. http://dx.doi.org/10.32747/2014.7598158.bard.
Texto completoDudley, J. P. y S. V. Samsonov. SAR interferometry with the RADARSAT Constellation Mission. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/329396.
Texto completoSchmidt, Elizabeth. Shoreline change at Fort Matanzas National Monument: 2020–2021 data summary. National Park Service, enero de 2022. http://dx.doi.org/10.36967/nrds-2290193.
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