M2DP: A novel 3D point cloud descriptor and its application in loop closure detection
In this paper, we present a novel global descriptor M2DP for 3D point clouds, and apply it to
the problem of loop closure detection. In M2DP, we project a 3D point cloud to multiple 2D …
the problem of loop closure detection. In M2DP, we project a 3D point cloud to multiple 2D …
Robust LIDAR localization using multiresolution Gaussian mixture maps for autonomous driving
This paper reports on a fast multiresolution scan matcher for local vehicle localization of self-
driving cars. State-of-the-art approaches to vehicle localization rely on observing road …
driving cars. State-of-the-art approaches to vehicle localization rely on observing road …
CRTF-MoeICP: A robust coarse-to-fine reflector-based LiDAR indoor positioning algorithm
Abstract The reflector-based Light Detection and Ranging (LiDAR) positioning method is
susceptible to environmental interferences, resulting in instability. This instability not only …
susceptible to environmental interferences, resulting in instability. This instability not only …
3-DOF point cloud registration using congruent triangles
X Wang, H Zhang, G Peng - 2015 IEEE/RSJ International …, 2015 - ieeexplore.ieee.org
In this paper, we present an efficient 3-DOF registration method to align two overlap**
point clouds captured by a range sensor that experiences locally planar motion such as in …
point clouds captured by a range sensor that experiences locally planar motion such as in …