Optimization Design of Parking Models Based on Complex and Random Parking Environments-Reference-Cited by-同舟云学术

Optimization Design of Parking Models Based on Complex and Random Parking Environments

Published:2023-12-12 Issue:12 Volume:14 Page:344
ISSN:2032-6653
Container-title:World Electric Vehicle Journal
language:en
Short-container-title:WEVJ

Author:

Liu Xunchen¹,Zhu Siqi²,Fang Yuan³,Wang Yutong⁴,Fu Lijuan⁵,Lei Wenjing⁶,Zhou Zijian¹

Affiliation:

1. School of Automotive Engineering, Wuhan University of Technology, Wuhan 430070, China

2. School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China

3. Key Laboratory of Catalysis and Energy Materials Chemistry of Ministry of Education, College of Chemistry and Materials Science, South-Central University for Nationalities, Wuhan 430074, China

4. Department of Mechanical Engineering, National University of Singapore, Singapore 117575, Singapore

5. School of Foreign Languages, Wuhan Institute of Technology, Wuhan 430205, China

6. School of Mechanical and Electrical Engineering, Wuhan Institute of Technology, Wuhan 430205, China

Abstract

This paper presents a comprehensive study on autonomous vehicle parking challenges, focusing on kinematic and reverse parking models. The research develops models for various scenarios, including turning, reverse, vertical, and parallel parking while using the minimum turning radius solution. The integration of the A* algorithm enhances trajectory optimization and obstacle avoidance. Innovative concepts like NTBPT and B-spline theory improve computational optimization. This study provides a foundation for understanding the dynamics and constraints of autonomous parking. The proposed model enhances efficiency and safety, reducing algorithm complexity and improving trajectory optimization. This research offers valuable insights and methodologies for addressing autonomous vehicle parking challenges and advocates for advancements in automated parking systems.

Funder

Fundamental Research Funds for the Central Universities

Publisher

MDPI AG

Subject

Automotive Engineering

Link

https://www.mdpi.com/2032-6653/14/12/344/pdf

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