Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Zhiqiang Jian"'
Publikováno v:
IEEE Robotics and Automation Letters. 8:3358-3365
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90c4d72f69cd80f574aeef5c655271a1
https://doi.org/10.1109/lra.2023.3267381
https://doi.org/10.1109/lra.2023.3267381
Publikováno v:
IEEE Robotics and Automation Letters. 8:3294-3301
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c851bc3fcb9aa134f213783ecd39f39f
https://doi.org/10.1109/lra.2023.3266664
https://doi.org/10.1109/lra.2023.3266664
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:13291-13305
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6110cf7ede98c503e8b01b6264ed7a33
https://doi.org/10.1109/tits.2021.3123327
https://doi.org/10.1109/tits.2021.3123327
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:4187-4200
Autonomous driving systems (ADSs) need to be able to respond quickly to changes in the dynamic traffic scenario. However, regardless of the changes occurring in traffic scenes, the current local path planning frameworks of ADSs are based on the fixed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f40aa68f108c9d8ee72aa8aed934e3a
https://doi.org/10.1109/tits.2020.3042603
https://doi.org/10.1109/tits.2020.3042603
Publikováno v:
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26d4a501f74dbbe9a2a0b3884691a55e
https://doi.org/10.1109/itsc55140.2022.9921860
https://doi.org/10.1109/itsc55140.2022.9921860
Autor:
Ying Zhao, Qingxu Li, Qiantao Shi, Beidou Xi, Xinyi Zhang, Zhiqiang Jian, Gaoting Zhou, Xiaoguang Meng, Xuhui Mao, Dejun Kang, Bin Gong
Publikováno v:
Separation and Purification Technology. 319:123706
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::deb9fafada3e329f751ff1b40da0982d
https://doi.org/10.1016/j.seppur.2023.123706
https://doi.org/10.1016/j.seppur.2023.123706
Publikováno v:
IEEE Robotics and Automation Letters. 6:5349-5356
The path planning of mobile robots is an optimization problem that is difficult to solve directly owing to its nonlinear characteristics. This letter proposes the “global–local” Coupling Two-Stage Path Planning (CTSP) method. First, the globall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e2b53bd86446fbbafe14142ca97fb51
https://doi.org/10.1109/lra.2021.3074878
https://doi.org/10.1109/lra.2021.3074878
Publikováno v:
2022 International Conference on Robotics and Automation (ICRA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87f0cb5eb12815ab141d97a2b04ad10c
https://doi.org/10.1109/icra46639.2022.9812167
https://doi.org/10.1109/icra46639.2022.9812167
Publikováno v:
ITSC
Since the effect of faulty measurements on the integrated localization of autonomous vehicle is catastrophic, the combination of Fault Detection, Isolation and Recovery (FDIR) and localization has become a major trend to improve the accuracy and reli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0ad664289f709381c4a13c82d53dfa3
https://doi.org/10.1109/itsc48978.2021.9565076
https://doi.org/10.1109/itsc48978.2021.9565076
Publikováno v:
ITSC
Trajectory planning enables Autonomous Mobile Robot (AMR) to have intelligence and avoid a collision in the interaction with obstacles. However, in scenes with multiple obstacles, most of the existing methods cannot minimize the collision risk. It is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a09f607fb2e25b72114c4f69fa3f8361
https://doi.org/10.1109/itsc48978.2021.9564740
https://doi.org/10.1109/itsc48978.2021.9564740