Demonstration of position estimation for multiple construction vehicles of different models by using 3D LiDARs installed in the field

• Published in: ROBOMECH journal Vol. 10; no. 1; pp. 15 - 11
• Main Authors: Inagawa, Masahiro, Kawabe, Tomohito, Takei, Toshinobu, Nagatani, Keiji
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.12.2023; Springer Nature B.V; SpringerOpen
• Subjects: 3D LiDAR; Accuracy; Artificial Intelligence; Automation; Computational Intelligence; Construction industry; Construction vehicle; Control and Systems Theory; Engineering; Labor shortages; Localization; Mechatronics; Methods; Radio frequency identification; Research Article; Robotics and Automation; Steering; Three dimensional models; Vehicles; Work environment; Working conditions; Construction vehicle; Localization; 3D LiDAR
• ISSN: 2197-4225; 2197-4225
• DOI: 10.1186/s40648-023-00252-0

The construction industry faces a labor shortage problem, so construction vehicles need to be automated. For automation, a position estimation method is expected that is independent of the work environment and can accurately estimate the position of targets. This paper aims to develop a position estimation method for multiple construction vehicles using 3D LiDAR installed in a work environment. By focusing on the shape of construction vehicles, this method can estimate the location of construction vehicles in places where conventional methods cannot be used, such as valleys or roofs. Because the shape of the construction vehicle changes depending on the work equipment and steering operation, each joint angle was obtained, and the 3D model used for estimation was updated. As a result of the experiment, it was verified that the position and orientation of multiple construction vehicles can be estimated with an accuracy that satisfies the required accuracy.