首页 /研究 /Monocular Vision Measurement System Based on ARM Microprocessor
SWARM

Monocular Vision Measurement System Based on ARM Microprocessor

Tan Min

发表年份
2010
引用次数
2

摘要

The target location problem of multi-robot cooperation and service robot tracking is discussed.A monocular vision measurement system with the ARM9 microprocessor as the main processing module and the CMOS camera as the image capturing module is presented. The system design includes two parts,i.e.,object recognition and positioning.A pure color block is served as the goal object, which can be detected by searching the color block in the captured image.The color image threshold segmentation method based on RGB vector is used to implement the image segmentation.The P4P method is employed to achieve the distance measurement.The intrinsic camera parameter calibration is performed with the Matlab toolbox and the RANSAC method is utilized to find the edge lines of the color block.The experiments show that the system is accurate and robust.

关键词

Artificial intelligenceComputer visionComputer scienceBlock (permutation group theory)RGB color modelColor imageRANSACMonocular visionImage processingMathematics

相关论文

查看 SWARM 分类全部论文