دورية أكاديمية
Optimization Design of Parking Models Based on Complex and Random Parking Environments
العنوان: | Optimization Design of Parking Models Based on Complex and Random Parking Environments |
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المؤلفون: | Xunchen Liu, Siqi Zhu, Yuan Fang, Yutong Wang, Lijuan Fu, Wenjing Lei, Zijian Zhou |
المصدر: | World Electric Vehicle Journal, Vol 14, Iss 12, p 344 (2023) |
بيانات النشر: | MDPI AG, 2023. |
سنة النشر: | 2023 |
المجموعة: | LCC:Electrical engineering. Electronics. Nuclear engineering LCC:Transportation engineering |
مصطلحات موضوعية: | vehicle motion models, motion trajectory planning, trajectory optimization, automated parking, parking lot problems, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Transportation engineering, TA1001-1280 |
الوصف: | 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. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 2032-6653 |
Relation: | https://www.mdpi.com/2032-6653/14/12/344; https://doaj.org/toc/2032-6653 |
DOI: | 10.3390/wevj14120344 |
URL الوصول: | https://doaj.org/article/3c5eee71b40346da9f854907e9a3b422 |
رقم الأكسشن: | edsdoj.3c5eee71b40346da9f854907e9a3b422 |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 20326653 |
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DOI: | 10.3390/wevj14120344 |