Three-stage vertical parking path planning for low-intelligence vehicles in standardized garages

Zixian Gao; Zhen Huang; Haoyu Li; Zhengke Chen; Yi He

doi:10.1117/12.3054568

20 December 2024 Three-stage vertical parking path planning for low-intelligence vehicles in standardized garages

Zixian Gao, Zhen Huang, Haoyu Li, Zhengke Chen, Yi He

Author Affiliations +

Proceedings Volume 13421, Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024); 1342154 (2024) https://doi.org/10.1117/12.3054568
Event: Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), 2024, Dalian, China

Abstract

Currently, China has 435 million vehicles, with a high proportion of low-intelligence vehicles. These vehicles have low automation, cannot perform complex driving operations, but are equipped with basic onboard sensors and V2X functionalities. With advancements in computer vision, the use of relative positioning from reverse images and acoustic radar has been effectively applied to onboard computers. This paper proposes a three-stage parking operation based on a parking selection library to address these characteristics. For known parking lot structures, a fixed-point steering model for standardized parking lots is developed. Complete parking trajectories and paths are obtained using vehicle and garage parameters to create a parking selection library. Basic sensors provide relative position parameters to match the parking selection library information. The vehicle then performs steering operations at specified points. This method effectively compensates for the low perception and weak decision-making capabilities of low-intelligence vehicles.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zixian Gao, Zhen Huang, Haoyu Li, Zhengke Chen, and Yi He "Three-stage vertical parking path planning for low-intelligence vehicles in standardized garages", Proc. SPIE 13421, Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), 1342154 (20 December 2024); https://doi.org/10.1117/12.3054568

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