3 citations · 6 across the 5 of their papers we have counts for
5 papers
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…
Stream-Based Ground Segmentation for Real-Time LiDAR Point Cloud Processing on FPGA
Xiao Zhang, Zhanhong Huang, Garcia Gonzalez Antony +2
This paper presents a novel and fast approach for ground plane segmentation in a LiDAR point cloud, specifically optimized for processing speed and hardware efficiency on FPGA hard…
Real-Time Joint Simulation of LiDAR Perception and Motion Planning for Automated Driving
Zhanhong Huang, Xiao Zhang, Xinming Huang
Real-time perception and motion planning are two crucial tasks for autonomous driving. While there are many research works focused on improving the performance of perception and mo…
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…