260 citations · 1.4k across the 56 of their papers we have counts for
12 papers · 1 filter
R-PCC: A Baseline for Range Image-based Point Cloud Compression
Sukai Wang, Jianhao Jiao, Peide Cai +1
In autonomous vehicles or robots, point clouds from LiDAR can provide accurate depth information of objects compared with 2D images, but they also suffer a large volume of data, wh…
Graph Attention Layer Evolves Semantic Segmentation for Road Pothole Detection: A Benchmark and Algorithms
Rui Fan, Hengli Wang, Yuan Wang +2
Existing road pothole detection approaches can be classified as computer vision-based or machine learning-based. The former approaches typically employ 2-D image analysis/understan…
On Bundle Adjustment for Multiview PointCloud Registration
Huaiyang Huang, Yuxiang Sun, Jin Wu +5
Multiview registration is used to estimate Rigid Body Transformations (RBTs) from multiple frames and reconstruct a scene with corresponding scans. Despite the success of pairwise…
Incorporating Learnt Local and Global Embeddings into Monocular Visual SLAM
Huaiyang Huang, Haoyang Ye, Yuxiang Sun +2
Traditional approaches for Visual Simultaneous Localization and Mapping (VSLAM) rely on low-level vision information for state estimation, such as handcrafted local features or the…
Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning
Peide Cai, Hengli Wang, Huaiyang Huang +2
Autonomous car racing is a challenging task in the robotic control area. Traditional modular methods require accurate mapping, localization and planning, which makes them computati…
SCV-Stereo: Learning Stereo Matching from a Sparse Cost Volume
Hengli Wang, Rui Fan, Ming Liu
Convolutional neural network (CNN)-based stereo matching approaches generally require a dense cost volume (DCV) for disparity estimation. However, generating such cost volumes is c…