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Monocular camera and 3D lidar joint calibration 被引量:1

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摘要 Joint calibration of sensors is an important prerequisite in intelligent driving scene retrieval and recognition. A simple and efficient solution is proposed for solving the problem of automatic joint calibration registration between the monocular camera and the 16-line lidar. The study is divided into two parts: single-sensor independent calibration and multi-sensor joint registration, in which the selected objective world is used. The system associates the lidar coordinates with the camera coordinates. The lidar and the camera are used to obtain the normal vectors of the calibration plate and the point cloud data representing the calibration plate by the appropriate algorithm. Iterated closest points(ICP) is the method used for the iterative refinement of the registration.
出处 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 2020年第4期91-98,共8页 中国邮电高校学报(英文版)
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