Ruiqi Shen
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Ruiqi Shen has a total of 3 co-authors. Here are the top co-authors by number of shared publications:
- Jiansen Zhao
Merchant Marine College, Shanghai Maritime University
1 shared publication - Shenpeng Tian
Merchant Marine College, Shanghai Maritime University, Shanghai 201306, China
1 shared publication - Shunan Hu
Department of Food Science and Technology Shanghai Ocean University Shanghai China
1 shared publication
Latest Publications
- Open Access
- 16 May 2023
- Published by MDPI AG in Journal of Marine Science and Engineering
- Vol. 11 (5) , 1060
Path Planning of an Unmanned Surface Vessel Based on the Improved A-Star and Dynamic Window Method
In order to ensure the safe navigation of USVs (unmanned surface vessels) and real-time collision avoidance, this study conducts global and local path planning for USVs in a variable dynamic environment, while local path planning is proposed under the consideration of USV motion characteristics and COLREGs (International Convention on Regulations for Collision Avoidance at Sea) requirements. First, the basis of collision avoidance decisions based on the dynamic window method is introduced. Second, the knowledge of local collision avoidance theory is used to study the local path planning of USV, and finally, simulation experiments are carried out in different situations and environments containing unknown obstacles. The local path planning experiments with unknown obstacles can prove that the local path planning algorithm proposed in this study has good results and can ensure that the USV makes collision avoidance decisions based on COLREGs when it meets with a ship.
- 16 May 2023
- Published by MDPI AG in Journal of Marine Science and Engineering
- Vol. 11 (5) , 1060
Open AccessPath Planning of an Unmanned Surface Vessel Based on the Improved A-Star and Dynamic Window Method
In order to ensure the safe navigation of USVs (unmanned surface vessels) and real-time collision avoidance, this study conducts global and local path planning for USVs in a variable dynamic environment, while local path planning is proposed under the consideration of USV motion characteristics and COLREGs (International Convention on Regulations for Collision Avoidance at Sea) requirements. First, the basis of collision avoidance decisions based on the dynamic window method is introduced. Second, the knowledge of local collision avoidance theory is used to study the local path planning of USV, and finally, simulation experiments are carried out in different situations and environments containing unknown obstacles. The local path planning experiments with unknown obstacles can prove that the local path planning algorithm proposed in this study has good results and can ensure that the USV makes collision avoidance decisions based on COLREGs when it meets with a ship.