Calibration Method for Fisheye Camera Based on Multi-checkerboard Detection
نویسندگان
چکیده
This paper proposes a fisheye camera calibration method based on multiple chessboard detection. To address the complexity and multiple-frame requirement of traditional methods, this detects corner points using libcbdetect algorithm obtains pixel coordinates. Then, it uses depth-first search to obtain world coordinates corners calculates homography matrix world-pixel pair through RANSAC algorithm. Finally, undistorted image is transformed into bird's eye view (BEV) obtained matrix. simple effective, can improve accuracy lane keeping functions, which practical significance in autonomous driving applications.
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ژورنال
عنوان ژورنال: Automation and machine learning
سال: 2023
ISSN: ['2516-5003']
DOI: https://doi.org/10.23977/autml.2023.040104