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Parking Path Planning Based on Combination of Reeds-Shepp Curve and A-Star Algorithm Southwest University, China
- Format:
- Book
- Conference/Event
- Author/Creator:
- Zhao, Ying, author.
- Conference Name:
- 2022 World General Artificial Intelligence Congress (2022-03-30 : Shanghai, China)
- Language:
- English
- Physical Description:
- 1 online resource cm
- Place of Publication:
- Warrendale, PA SAE International 2022
- Summary:
- To resolve the problems of path curvature mutation and automatic parking path planning in complex scenes, a novel parking path planning method based on the combination of Reeds-Shepp curve and A-Star algorithm is proposed in this paper. To start with, the points from the planned path are selected based on Reeds-Shepp curve, whereby the planned path is segmented and optimized according to the combination of limited information collected by environmental perception system and A-Star algorithm, then the planned path of automatic parking is executed successfully in complex barriers scenarios. Subsequently, the effectiveness of the segmented path is verified with the adoption of MATLAB and real-vehicle test. It can be seen from the results that the path planned based on the combination of Reeds-Shepp curve and A-Star algorithm is proven to provide a smooth path, superior execution, and high security
- Notes:
- Vendor supplied data
- Publisher Number:
- 2022-01-7024
- Access Restriction:
- Restricted for use by site license
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