A LiDAR-intensity projection, matched to the camera image with an attention-based detector-free network and a repeatability score, achieves state-of-the-art point-pixel registration using only single-frame LiDAR.
Dsqnet: A deformable model-based supervised learning algorithm for grasping unknown occluded objects,
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Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching
A LiDAR-intensity projection, matched to the camera image with an attention-based detector-free network and a repeatability score, achieves state-of-the-art point-pixel registration using only single-frame LiDAR.