Local Path Planning Using Artificial Potential Field for Waypoint Tracking with Collision Avoidance
- Title
- Local Path Planning Using Artificial Potential Field for Waypoint Tracking with Collision Avoidance
- Author
- 정정주
- Keywords
- Path planning; Roads; Global Positioning System; Tires; Vehicle dynamics; Planning; Mathematical model
- Issue Date
- 2020-09
- Publisher
- 2020 IEEE Intelligent Transportation Systems Conference
- Citation
- 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), page. 1-7
- Abstract
- In this paper, we propose a waypoint tracking scheme with a collision-avoidance system using the artificial potential field (APF) with speed planning. It is shown that there is little literature about the combination work of waypoint tracking and APF-based local path planner. We present a new path planning method to smoothly join the local path predicted by APF to avoid obstacles and the path given by irregular waypoints to eliminate severe yawing of the heading angle of the vehicle. The proposed speed planning combined with APF effectively prevents possible excessive tire slip angle of the vehicle driving at high speed. The simulation results show that the proposed path planning algorithm with speed planning is effective in collision avoidance with static and/or dynamic obstacles for the waypoint tracking scenario. This proposed method is validated with the vehicle dynamic lateral motion model in MATLAB/Simulink and CarSim.
- URI
- https://ieeexplore.ieee.org/document/9294717https://repository.hanyang.ac.kr/handle/20.500.11754/170577
- ISBN
- 978-1-7281-4149-7
- ISSN
- 2153-0009
- DOI
- 10.1109/ITSC45102.2020.9294717
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > ELECTRICAL AND BIOMEDICAL ENGINEERING(전기·생체공학부) > Articles
- Files in This Item:
There are no files associated with this item.
- Export
- RIS (EndNote)
- XLS (Excel)
- XML