A LiDAR-visual odometry network that uses completed dense depth maps to guide optical flow and hierarchical pose refinement reports strong results on the KITTI benchmark.
Cnn-slam: Real-time dense monocular slam with learned depth prediction,
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Dense-depth map guided deep Lidar-Visual Odometry with Sparse Point Clouds and Images
A LiDAR-visual odometry network that uses completed dense depth maps to guide optical flow and hierarchical pose refinement reports strong results on the KITTI benchmark.