Abstract
We proposed a robust method for self-localization of infrastructure-free automated guided vehicles (AGVs) using laser range finders (LRFs) in environments that include multiple vehicles. In those environments, occlusion of a LRF is caused by other vehicles, and false localization occurs with a conventional method. To solve this problem, our proposed method was divided into two stages. In first stage, to distinguish other vehicles' sides from walls, an AGV detects other vehicles with retroreflective materials from environments' shapes and reflection intensities measured by only a LRF. In second stage, to complement information for self-localization, an AGV integrates measurement results of a LRF and information of wheel rotation using Kalman Filter. Our method has an advantage that it doesn't need any additional infrastructures or electronic devices.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: The Proceedings of the Transportation and Logistics Conference
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
