Abstract
This paper proposes a search-optimization-based path planning strategy for Unmanned Surface Vehicle (USV) is proposed by improving the boundary generation method. Compared with the existing sampling or graph theory approaches, both the accuracy and the efficiency of collision detection are considered in the proposed strategy. The path parameterization method provided in this paper can obtain a smoother continuous path within a reasonable time-consuming range, making it more compatible with speed or trajectory planning. Finally, numerical simulations are performed to verify the effectiveness of the proposed algorithm.
| Original language | English |
|---|---|
| Title of host publication | 2022 1st International Conference on Cyber-Energy Systems and Intelligent Energy, ICCSIE 2022 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781665452151 |
| DOIs | |
| State | Published - 2023 |
| Externally published | Yes |
| Event | 1st International Conference on Cyber-Energy Systems and Intelligent Energy, ICCSIE 2022 - Shenyang, China Duration: 14 Jan 2023 → 15 Jan 2023 |
Publication series
| Name | 2022 1st International Conference on Cyber-Energy Systems and Intelligent Energy, ICCSIE 2022 |
|---|
Conference
| Conference | 1st International Conference on Cyber-Energy Systems and Intelligent Energy, ICCSIE 2022 |
|---|---|
| Country/Territory | China |
| City | Shenyang |
| Period | 14/01/23 → 15/01/23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Unmanned Surface Vehicle (USV)
- improved boundary generation
- path parameterization
- path planning
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