Improved Hybrid A-Star Algorithm for Path Planning in Autonomous Parking System Based on Multi-Stage Dynamic Optimization-Reference-Cited by-同舟云学术

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Improved Hybrid A-Star Algorithm for Path Planning in Autonomous Parking System Based on Multi-Stage Dynamic Optimization

Published:2023-03-18 Issue:2 Volume:24 Page:459-468
ISSN:1229-9138
Container-title:International Journal of Automotive Technology
language:en
Short-container-title:Int.J Automot. Technol.

Author:

Meng Tianchuang,Yang Tianhong,Huang Jin,Jin Wenrui,Zhang Wei,Jia Yifan,Wan Keqian,Xiao Gang,Yang Diange,Zhong Zhihua

Publisher

Springer Science and Business Media LLC

Subject

Automotive Engineering

Link

https://link.springer.com/content/pdf/10.1007/s12239-023-0038-1.pdf

Reference36 articles.

1. Anderson, S. J., Karumanchi, S. B. and Iagnemma, K. (2012). Constraint-based planning and control for safe, semi-autonomous operation of vehicles. IEEE Intelligent Vehicles Symp. (IV), Madrid, Spain.

2. Ayalew, M., Zhou, S., Assefa, M. and Yilma, G. (2021). Spatial-temporal attentive motion planning network for autonomous vehicles. 18th Int. Computer Conf. Wavelet Active Media Technology and Information Processing (ICCWAMTIP), Chengdu, China.

3. Ayawli, B. B. K., Chellali, R., Appiah, A. Y. and Kyeremeh, F. (2018). An overview of nature-inspired, conventional, and hybrid methods of autonomous vehicle path planning. J. Advanced Transportation, 2018, 8269698.

4. Chaulwar, A., Al-Hashimi, H., Botsch, M. and Utschick, W. (2021). Sampling algorithms combination with machine learning for efficient safe trajectory planning. Int. J. Machine Learning and Computing 11, 1, 1–11.

5. Chen, X. and Gao, P. (2019). Path planning and control of soccer robot based on genetic algorithm. J. Ambient Intelligence and Humanized Computing 11, 12, 6177–6186.

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