Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Zheng, Enhui"'
The geo-localization and navigation technology of unmanned aerial vehicles (UAVs) in denied environments is currently a prominent research area. Prior approaches mainly employed a two-stream network with non-shared weights to extract features from UA
Externí odkaz:
http://arxiv.org/abs/2403.06148
LiDAR-based 3D object detection and classification is crucial for autonomous driving. However, real-time inference from extremely sparse 3D data is a formidable challenge. To address this problem, a typical class of approaches transforms the point cl
Externí odkaz:
http://arxiv.org/abs/2308.06791
Autor:
Yang, Jianxing1 (AUTHOR) s22010811041@cjlu.edu.cn, Zheng, Enhui1 (AUTHOR) ehzheng@cjlu.edu.cn, Fan, Jiqi1 (AUTHOR), Yao, Yuwen1 (AUTHOR)
Publikováno v:
Sensors (14248220). Sep2024, Vol. 24 Issue 17, p5491. 20p.
Image retrieval (IR) has emerged as a promising approach for self-localization in unmanned aerial vehicles (UAVs). However, IR-based methods face several challenges: 1) Pre- and post-processing incur significant computational and storage overhead; 2)
Externí odkaz:
http://arxiv.org/abs/2208.06561
Cross-view geo-localization is a task of matching the same geographic image from different views, e.g., unmanned aerial vehicle (UAV) and satellite. The most difficult challenges are the position shift and the uncertainty of distance and scale. Exist
Externí odkaz:
http://arxiv.org/abs/2201.09206
Unmanned Aerial Vehicles (UAVs) rely on satellite systems for stable positioning. However, due to limited satellite coverage or communication disruptions, UAVs may lose signals from satellite-based positioning systems. In such situations, vision-base
Externí odkaz:
http://arxiv.org/abs/2201.09201
Autor:
Fan, Jiqi1 (AUTHOR), Zheng, Enhui1 (AUTHOR) ehzheng@cjlu.edu.cn, He, Yufei1 (AUTHOR), Yang, Jianxing1 (AUTHOR)
Publikováno v:
Sensors (14248220). Jun2024, Vol. 24 Issue 12, p3719. 21p.
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Akademický článek
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Publikováno v:
Sensors (14248220); Nov2024, Vol. 24 Issue 21, p6905, 22p