Estimation Method of Parking Space Conditions Using Multiple 3D-LiDARs

Autor:	Shunya Yamada, Yousuke Watanabe, Ryo Kanamori, Kenya Sato, Hiroaki Takada
Rok vydání:	2022
Předmět:	Control and Systems Engineering General Neuroscience Applied Mathematics Automotive Engineering Aerospace Engineering Software Computer Science Applications Information Systems
Zdroj:	International Journal of Intelligent Transportation Systems Research. 20:422-432
ISSN:	1868-8659 1348-8503
Popis:	In the early stages of the spread of autonomous vehicles, it is conceivable to operate an automated valet parking system in parking lots where autonomous vehicles and non-autonomous vehicles coexist. Since non-autonomous vehicles may park beyond the parking space, it is necessary to estimate parking space conditions three-dimensionally. This paper proposes a method to estimate the parking space conditions using multiple 3D-LiDARs that can detect the space three-dimensionally. In the evaluation experiment, multiple 3D-LiDARs were installed in the parking lot of a public facility, and the estimation accuracy of the proposed method was evaluated in various situations.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b1d11f9b4275a38ecd12784bf34e8d38 https://doi.org/10.1007/s13177-022-00300-w Zobrazit plný text záznamu Full text from SpringerLink