74 citations · 204 across the 15 of their papers we have counts for
5 papers · 1 filter
Anchor-Based Spatio-Temporal Attention 3D Convolutional Networks for Dynamic 3D Point Cloud Sequences
Guangming Wang, Muyao Chen, Hanwen Liu +3
With the rapid development of measurement technology, LiDAR and depth cameras are widely used in the perception of the 3D environment. Recent learning based methods for robot perce…
PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization
Guangming Wang, Xinrui Wu, Zhe Liu +1
A novel 3D point cloud learning model for deep LiDAR odometry, named PWCLO-Net, using hierarchical embedding mask optimization is proposed in this paper. In this model, the Pyramid…
Spherical Interpolated Convolutional Network with Distance-Feature Density for 3D Semantic Segmentation of Point Clouds
Guangming Wang, Yehui Yang, Huixin Zhang +2
The semantic segmentation of point clouds is an important part of the environment perception for robots. However, it is difficult to directly adopt the traditional 3D convolution k…
Hierarchical Attention Learning of Scene Flow in 3D Point Clouds
Guangming Wang, Xinrui Wu, Zhe Liu +1
Scene flow represents the 3D motion of every point in the dynamic environments. Like the optical flow that represents the motion of pixels in 2D images, 3D motion representation of…
Unsupervised Learning of Depth, Optical Flow and Pose with Occlusion from 3D Geometry
Guangming Wang, Chi Zhang, Hesheng Wang +3
In autonomous driving, monocular sequences contain lots of information. Monocular depth estimation, camera ego-motion estimation and optical flow estimation in consecutive frames a…