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A general line tracking algorithm based on computer vision

Huanhuan Yang, Yinqiu Wang, Li Gao

Year
2016
Citations
3

Abstract

This paper presents a general algorithm to track the line on the ground based on computer vision, which utilizes Raspberry Pi 2 to complete the image processing. The algorithm accomplishes image processing firstly, then recognizes the line by edge detection and scanning model. The proposed algorithm can be used in a variety of platforms including intelligent car system, robot platform, UAV platform and other mobile platforms. In this paper, the algorithm is verified by quadrotor platform and achieves great line-tracking effect by tuning parameters. Series of experiments show that the algorithm has great validity, robustness, and generality.

Keywords

Computer scienceRobustness (evolution)Computer visionArtificial intelligenceImage processingMachine visionMobile robotLine (geometry)GeneralityEdge detection

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