KDKaiyuan Dong
Kaiyuan Dong
*This is an algorithmically generated author record based on publicly available information.
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Kaiyuan Dong has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Tao Liu
College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China
2 shared publications - Zhen Shi
College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, People’s Republic of China
2 shared publications - Hongwang Du
College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, People’s Republic of China
1 shared publication - Xianfeng Wang
College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China
1 shared publication - Yan Zheng
China FAW Group Corporation, Changchun, People’s Republic of China
1 shared publication - Yang Zhang
College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, People’s Republic of China
1 shared publication
Latest Publications
- 22 February 2024
- Published by Springer Nature in Journal of Real-Time Image Processing
- Vol. 21 (2) , 1-18
Accurate and real-time visual detection algorithm for environmental perception of USVS under all-weather conditions
- 22 February 2024
- Published by Springer Nature in Journal of Real-Time Image Processing
- Vol. 21 (2) , 1-18
Accurate and real-time visual detection algorithm for environmental perception of USVS under all-weather conditions
- 16 December 2023
- Published by Springer Nature in Journal of Intelligent & Robotic Systems
- Vol. 110 (1) , 1-24
Visual Detection Algorithm for Enhanced Environmental Perception of Unmanned Surface Vehicles in Complex Marine Environments
- 16 December 2023
- Published by Springer Nature in Journal of Intelligent & Robotic Systems
- Vol. 110 (1) , 1-24
Visual Detection Algorithm for Enhanced Environmental Perception of Unmanned Surface Vehicles in Complex Marine Environments