DeepVCP: An End-to-End Deep Neural Network for Point Cloud Registration

no code implementations • ICCV 2019 • Weixin Lu, Guowei Wan, Yao Zhou, Xiangyu Fu, Pengfei Yuan, Shiyu Song

We present DeepVCP - a novel end-to-end learning-based 3D point cloud registration framework that achieves comparable registration accuracy to prior state-of-the-art geometric methods.

Point Cloud Registration

L3-Net: Towards Learning Based LiDAR Localization for Autonomous Driving

no code implementations • CVPR 2019 • Weixin Lu, Yao Zhou, Guowei Wan, Shenhua Hou, Shiyu Song

The SunnyvaleBigLoop sequences, with a year's time interval between the collected mapping and testing data, made it quite challenging, but the low localization error of our method in these datasets demonstrates its maturity for real industrial implementation.

Autonomous Driving

DeepICP: An End-to-End Deep Neural Network for 3D Point Cloud Registration

no code implementations • 10 May 2019 • Weixin Lu, Guowei Wan, Yao Zhou, Xiangyu Fu, Pengfei Yuan, Shiyu Song

We present DeepICP - a novel end-to-end learning-based 3D point cloud registration framework that achieves comparable registration accuracy to prior state-of-the-art geometric methods.

Point Cloud Registration