Optimal Camera Placement of Large Scale Volume Localization System for Mobile Robot

Abstract

Large Scale Volume Localization System (LSVLS) is applied widely in industry. Large Scale Volume Localization System 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 optimized cameras placement with their relative position algorithm (RPA). The result of optimal camera placement enhances greatly the efficiency of camera placement in LSVLS and is verified with a model of field-winding mobile vehicle.