Zobrazeno 1 - 10
of 323
pro vyhledávání: '"Guan Yisheng"'
Autor:
Lin, Zhenchao, He, Li, Yang, Hongqiang, Sun, Xiaoqun, Zhang, Cuojin, Chen, Weinan, Guan, Yisheng, Zhang, Hong
Large-scale point cloud consists of a multitude of individual objects, thereby encompassing rich structural and underlying semantic contextual information, resulting in a challenging problem in efficiently segmenting a point cloud. Most existing rese
Externí odkaz:
http://arxiv.org/abs/2406.11441
Publikováno v:
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems 2022
Loop closure detection is a key technology for long-term robot navigation in complex environments. In this paper, we present a global descriptor, named Normal Distribution Descriptor (NDD), for 3D point cloud loop closure detection. The descriptor en
Externí odkaz:
http://arxiv.org/abs/2209.12513
Current polarimetric 3D reconstruction methods, including those in the well-established shape from polarization literature, are all developed under the orthographic projection assumption. In the case of a large field of view, however, this assumption
Externí odkaz:
http://arxiv.org/abs/2207.09629
Publikováno v:
ROBIO, 2021, pp. 826-832
2D LiDAR SLAM (Simultaneous Localization and Mapping) is widely used in indoor environments due to its stability and flexibility. However, its mapping procedure is usually operated by a joystick in static environments, while indoor environments often
Externí odkaz:
http://arxiv.org/abs/2204.08163
Visual place recognition (VPR) in condition-varying environments is still an open problem. Popular solutions are CNN-based image descriptors, which have been shown to outperform traditional image descriptors based on hand-crafted visual features. How
Externí odkaz:
http://arxiv.org/abs/2204.07350
Autor:
Xiang, Chaoqun, Yun, Tao, Li, Zhiwei, Lu, Xingyu, Yang, Chi, Li, Jing, Wang, Chunfeng, Guan, Yisheng
Publikováno v:
In Sensors and Actuators: A. Physical 1 November 2024 378
Publikováno v:
In Sensors and Actuators: A. Physical 16 October 2024 377
Publikováno v:
In Robotics and Autonomous Systems June 2024 176
Publikováno v:
In Engineering Applications of Artificial Intelligence February 2024 128
Publikováno v:
IEEE Robotics and Automation Letters, Volume:6, Issue:2, P. 3537-3544, April 2021
Policy optimization in reinforcement learning requires the selection of numerous hyperparameters across different environments. Fixing them incorrectly may negatively impact optimization performance leading notably to insufficient or redundant learni
Externí odkaz:
http://arxiv.org/abs/2010.08252