41 citations · 49 across the 8 of their papers we have counts for
6 papers · 1 filter
A Divide-and-Merge Point Cloud Clustering Algorithm for LiDAR Panoptic Segmentation
Yiming Zhao, Xiao Zhang, Xinming Huang
Clustering objects from the LiDAR point cloud is an important research problem with many applications such as autonomous driving. To meet the real-time requirement, existing resear…
FIDNet: LiDAR Point Cloud Semantic Segmentation with Fully Interpolation Decoding
Yiming Zhao, Lin Bai, Xinming Huang
Projecting the point cloud on the 2D spherical range image transforms the LiDAR semantic segmentation to a 2D segmentation task on the range image. However, the LiDAR range image i…
A Technical Survey and Evaluation of Traditional Point Cloud Clustering Methods for LiDAR Panoptic Segmentation
Yiming Zhao, Xiao Zhang, Xinming Huang
LiDAR panoptic segmentation is a newly proposed technical task for autonomous driving. In contrast to popular end-to-end deep learning solutions, we propose a hybrid method with an…
Enabling 3D Object Detection with a Low-Resolution LiDAR
Lin Bai, Yiming Zhao, Xinming Huang
Light Detection And Ranging (LiDAR) has been widely used in autonomous vehicles for perception and localization. However, the cost of a high-resolution LiDAR is still prohibitively…
Deep Lucas-Kanade Homography for Multimodal Image Alignment
Yiming Zhao, Xinming Huang, Ziming Zhang
Estimating homography to align image pairs captured by different sensors or image pairs with large appearance changes is an important and general challenge for many computer vision…
A Surface Geometry Model for LiDAR Depth Completion
Yiming Zhao, Lin Bai, Ziming Zhang +1
LiDAR depth completion is a task that predicts depth values for every pixel on the corresponding camera frame, although only sparse LiDAR points are available. Most of the existing…