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• W3009863974 abstract "This work presents an extrinsic parameter estimation algorithm between a 3D LIDAR and a Projective Camera using a marker-less planar target, by exploiting Planar Surface Point to Plane and Planar Edge Point to back-projected Plane geometric constraints. The proposed method uses the data collected by placing the planar board at different poses in the common field of view of the LIDAR and the Camera. The steps include, detection of the target and the edges of the target in LIDAR and Camera frames, matching the detected planes and lines across both the sensing modalities and finally solving a cost function formed by the aforementioned geometric constraints that link the features detected in both the LIDAR and the Camera using non-linear least squares. We have extensively validated our algorithm using two Basler Cameras, Velodyne VLP-32 and Ouster OS1 LIDARs." @default.
• W3009863974 created "2020-03-13" @default.
• W3009863974 creator A5004812994 @default.
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• W3009863974 date "2020-03-02" @default.
• W3009863974 modified "2023-09-27" @default.
• W3009863974 title "Extrinsic Calibration of a 3D-LIDAR and a Camera" @default.
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• W3009863974 hasPublicationYear "2020" @default.
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