LiDAR data interpolation algorithm for visual odometry based on 3D-2D motion estimation

This paper proposes two interpolation methods (i.e. selective bilinear method and plane method) which can be applied to interpolate sparse LiDAR data. Experimental results obtained by applying them to a visual odometry algorithm demonstrates that the selective bilinear interpolation shows better performance than the plane method in the view point of computation speed and accuracy.