Colorizing and super-resolving lidar images before keypoint detection changes lidar odometry sampling, reducing rotation error and point count on tested sequences while giving mixed translation error results.
Autonomous navigation system of greenhouse mobile robot based on 3d lidar and 2d lidar slam
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Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery
Colorizing and super-resolving lidar images before keypoint detection changes lidar odometry sampling, reducing rotation error and point count on tested sequences while giving mixed translation error results.