Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Xiangwei Dang"'
Publikováno v:
Remote Sensing, Vol 16, Iss 4, p 633 (2024)
A skeletal pose estimation method, named RVRU-Pose, is proposed to estimate the skeletal pose of vulnerable road users based on distributed non-coherent mmWave radar. In view of the limitation that existing methods for skeletal pose estimation are on
Externí odkaz:
https://doaj.org/article/65d5f173b42c41aeb8cd2244392a92cd
Publikováno v:
Leida xuebao, Vol 10, Iss 4, Pp 622-631 (2021)
Multi-sensor fusion perception is one of the key technologies to realize intelligent automobile driving, and it has become a hot issue in the field of intelligent driving. However, because of the limited resolution of millimeter-wave radars, the inte
Externí odkaz:
https://doaj.org/article/1b04bdb1bfac422eafa7aa8f8c49e492
Publikováno v:
Sensors, Vol 21, Iss 1, p 230 (2021)
Accurate localization and reliable mapping is essential for autonomous navigation of robots. As one of the core technologies for autonomous navigation, Simultaneous Localization and Mapping (SLAM) has attracted widespread attention in recent decades.
Externí odkaz:
https://doaj.org/article/14e2a3fd9ed241788b59751cca47520f
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf3254f4a488037f6e0318c11db90b15
https://doi.org/10.1109/lgrs.2021.3138730
https://doi.org/10.1109/lgrs.2021.3138730
Publikováno v:
4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e407b03acda14e2725285ceef2be6d4
https://doi.org/10.1117/12.2639529
https://doi.org/10.1117/12.2639529
Publikováno v:
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c3177c182c072256e9e0d74d367d2b0
https://doi.org/10.1109/iros51168.2021.9636438
https://doi.org/10.1109/iros51168.2021.9636438
Publikováno v:
2020 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM).
Robust and accurate localization and mapping are essential for autonomous driving. The traditional SLAM methods generally work under the assumption that the environment is static, while in dynamic environment the performance will be degenerate. In th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c63ed3acd6010814311ce2919864323e
https://doi.org/10.1109/icmim48759.2020.9298986
https://doi.org/10.1109/icmim48759.2020.9298986
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 230, p 230 (2021)
Sensors
Volume 21
Issue 1
Sensors, Vol 21, Iss 230, p 230 (2021)
Sensors
Volume 21
Issue 1
Accurate localization and reliable mapping is essential for autonomous navigation of robots. As one of the core technologies for autonomous navigation, Simultaneous Localization and Mapping (SLAM) has attracted widespread attention in recent decades.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30b1228bd769c4a5c759bdaded6b0f65
https://pubmed.ncbi.nlm.nih.gov/33401421
https://pubmed.ncbi.nlm.nih.gov/33401421