Zobrazeno 1 - 10
of 302
pro vyhledávání: '"LIU Jingbin"'
Visual-inertial odometry (VIO) is widely used in various fields, such as robots, drones, and autonomous vehicles, due to its low cost and complementary sensors. Most VIO methods presuppose that observed objects are static and time-invariant. However,
Externí odkaz:
http://arxiv.org/abs/2411.19289
Mastering Asymmetrical Multiplayer Game with Multi-Agent Asymmetric-Evolution Reinforcement Learning
Asymmetrical multiplayer (AMP) game is a popular game genre which involves multiple types of agents competing or collaborating with each other in the game. It is difficult to train powerful agents that can defeat top human players in AMP games by typ
Externí odkaz:
http://arxiv.org/abs/2304.10124
Autor:
Liu, Jingbin, Yang, Wentao, Zhou, Hang, Zia-ur-Rehman, Muhammad, Salam, Muhammad, Ouyang, Linnan, Chen, Yonglin, Yang, Liyu, Wu, Pan
Publikováno v:
In Ecotoxicology and Environmental Safety 15 October 2024 285
Publikováno v:
In International Journal of Heat and Fluid Flow October 2024 109
Publikováno v:
In Intermetallics January 2025 176
Publikováno v:
In Advances in Space Research 15 September 2024 74(6):2649-2663
Publikováno v:
In Journal of Alloys and Compounds 25 May 2024 985
Autor:
Liu, Jingbin1 (AUTHOR) 18553951918@163.com, Hu, Jingyi1 (AUTHOR), Li, Mengyu1 (AUTHOR), Liu, Guiliang1 (AUTHOR), Wu, Yuying1 (AUTHOR), Gao, Tong1 (AUTHOR) tgao@sdu.edu.cn, Liu, Shushuai1 (AUTHOR) tgao@sdu.edu.cn, Liu, Xiangfa1 (AUTHOR)
Publikováno v:
Materials (1996-1944). May2024, Vol. 17 Issue 9, p2022. 16p.
Autor:
Ma, Hao, Liu, Jingbin, Hu, Zhirong, Qiu, Hongyu, Xu, Dong, Wang, Zemin, Gong, Xiaodong, Yang, Sheng
This paper designs a technique route to generate high-quality panoramic image with depth information, which involves two critical research hotspots: fusion of LiDAR and image data and image stitching. For the fusion of 3D points and image data, since
Externí odkaz:
http://arxiv.org/abs/2010.14270
Autor:
Ma, Hao, Liu, Jingbin, Liu, Keke, Qiu, Hongyu, Xu, Dong, Wang, Zemin, Gong, Xiaodong, Yang, Sheng
Registration of 3D LiDAR point clouds with optical images is critical in the combination of multi-source data. Geometric misalignment originally exists in the pose data between LiDAR point clouds and optical images. To improve the accuracy of the ini
Externí odkaz:
http://arxiv.org/abs/2010.14261