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

• Published in: International journal of ITS research Vol. 20; no. 2; pp. 422 - 432
• Main Authors: Yamada, Shunya, Watanabe, Yousuke, Kanamori, Ryo, Sato, Kenya, Takada, Hiroaki
• Format: Journal Article
• Language: English
• Published: New York Springer US 01-08-2022; Springer Nature B.V
• Subjects: Automotive Engineering; Civil Engineering; Computer Imaging; Electrical Engineering; Engineering; Parking facilities; Pattern Recognition and Graphics; Robotics and Automation; User Interfaces and Human Computer Interaction; Vehicles; Vision; 3D-LiDAR; Automated valet parking; Vehicle detection; Parking space detection
• ISSN: 1348-8503; 1868-8659
• DOI: 10.1007/s13177-022-00300-w

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.