Research on the parking planning algorithm based on DDPG and TD3

Miaozeng Du

doi:10.1117/12.2640901

13 October 2022 Research on the parking planning algorithm based on DDPG and TD3

Miaozeng Du

Proceedings Volume 12287, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2022); 122870K (2022) https://doi.org/10.1117/12.2640901
Event: International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2022), 2022, Wuhan, China

Abstract

With the continuous growth of private transportation, parking has become a great difficulty in densely populated areas. This paper is committed to realizing vehicle autonomous parking under controlled and limited external complex conditions. Considering the continuity of state and action space, TD3 and DDPG algorithms based on actor critical architecture are adopted. The paper uses two algorithms to train the agent in simulated parking environment. The simulation results show that the DDPG algorithm based on DRL can achieve high-precision parking path planning.

Citation Download Citation

Miaozeng Du "Research on the parking planning algorithm based on DDPG and TD3", Proc. SPIE 12287, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2022), 122870K (13 October 2022); https://doi.org/10.1117/12.2640901

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