AI RESEARCH
CLAIM: Camera-LiDAR Alignment with Intensity and Monodepth
arXiv CS.CV
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ArXi:2512.14001v2 Announce Type: replace-cross In this paper, we unleash the potential of the powerful monodepth model in camera-LiDAR calibration and propose CLAIM, a novel method of aligning data from the camera and LiDAR. Given the initial guess and pairs of images and LiDAR point clouds, CLAIM utilizes a coarse-to-fine searching method to find the optimal transformation minimizing a patched Pearson correlation-based structure loss and a mutual information-based texture loss.