Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Lingping Gao"'
Autor:
Dawei Wang, Lingping Gao, Ziquan Lan, Wei Li, Jiaping Ren, Jiahui Zhang, Peng Zhang, Pei Zhou, Shengao Wang, Jia Pan, Dinesh Manocha, Ruigang Yang
Publikováno v:
Frontiers in Neurorobotics, Vol 16 (2022)
Recently, there have been many advances in autonomous driving society, attracting a lot of attention from academia and industry. However, existing studies mainly focus on cars, extra development is still required for self-driving truck algorithms and
Externí odkaz:
https://doaj.org/article/bb491ce282f74d6ca21233cd6c8dc67e
Autonomous vehicles trained through Multi-Agent Reinforcement Learning (MARL) have shown impressive results in many driving scenarios. However, the performance of these trained policies can be impacted when faced with diverse driving styles and perso
Externí odkaz:
http://arxiv.org/abs/2402.13481
Autor:
Jianchuan Ding, Lingping Gao, Wenxi Liu, Haiyin Piao, Jia Pan, Zhenjun Du, Xin Yang, Baocai Yin
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 33:756-770
Deep reinforcement learning has achieved great success in laser-based collision avoidance works because the laser can sense accurate depth information without too much redundant data, which can maintain the robustness of the algorithm when it is migr
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. :1-18
Autor:
Lingping Gao, Ziqing Gu, Cong Qiu, Lanxin Lei, Shengbo Eben Li, Sifa Zheng, Wei Jing, Junbo Chen
Publikováno v:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Autor:
Dawei, Wang, Lingping, Gao, Ziquan, Lan, Wei, Li, Jiaping, Ren, Jiahui, Zhang, Peng, Zhang, Pei, Zhou, Shengao, Wang, Jia, Pan, Dinesh, Manocha, Ruigang, Yang
Recently, there have been many advances in autonomous driving society, attracting a lot of attention from academia and industry. However, existing studies mainly focus on cars, extra development is still required for self-driving truck algorithms and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f41b79c06df5aeb823c7563992287ecf
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