3 citations · 6 across the 5 of their papers we have counts for
3 papers · 1 filter
Accelerating Point Cloud Ground Segmentation: From Mechanical to Solid-State Lidars
Xiao Zhang, Zhanhong Huang, Garcia Gonzalez Antony +1
In this study, we propose a novel parallel processing method for point cloud ground segmentation, aimed at the technology evolution from mechanical to solid-state Lidar (SSL). We f…
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…
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…