Feilong Yan

2 accepted papers

2020

Augmented LiDAR Simulator for Autonomous Driving

Jin Fang, Dingfu Zhou, Feilong Yan, Tongtong Zhao, Feihu Zhang, Yu Ma +2

RA-L 2020

In Autonomous Driving (AD), detection and tracking of obstacles on the roads is a critical task. Deep-learning based methods using annotated LiDAR data have been the most widely adopted approach for this. Unfortunately, annotating 3D point cloud is a very challenging, time- and money-consuming task.

Cited by 149 Source ↗Scholar ↗

2020

End-to-End 3D Point Cloud Instance Segmentation Without Detection

Haiyong Jiang, Feilong Yan, Jianfei Cai, Jianmin Zheng, Jun Xiao

CVPR 2020poster

3D instance segmentation plays a predominant role in environment perception of robotics and augmented reality. Many deep learning based methods have been presented recently for this task. These methods rely on either a detection branch to propose objects or a grouping step to assemble same-instance…

Cited by 41 PDF ↗Scholar ↗