Abstract
Large Scale Volume Localization System (LSVLS) with camera network has appropriate precise and cost, which is a promising system in metrology and localization in industry and lives. Optimal camera placement is significant to lower cost and facilitate target’s auto-control for mobile robot in the large workspace. The author proposed a relative position algorithm (RPA) to find optimal camera placement of dozens even hundreds cameras. RPA calculated the minimum cameras and the coordinate and posture of each camera, after figured out the best posture of the camera in camera placement area. The result of optimal camera placement can enhance greatly the efficiency of camera placement in LSVLS and is verified with a model of a mobile robot works in a laboratory.
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 callDisclaimer: 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.
