SMURF: Spatial Multi-Representation Fusion for 3D Object Detection with 4D Imaging Radar

no code implementations • 20 Jul 2023 • Jianan Liu, Qiuchi Zhao, Weiyi Xiong, Tao Huang, Qing-Long Han, Bing Zhu

Additionally, KDE helps alleviate point cloud sparsity by capturing density features.

3D Object Detection Density Estimation +1

LXL: LiDAR Excluded Lean 3D Object Detection with 4D Imaging Radar and Camera Fusion

no code implementations • 3 Jul 2023 • Weiyi Xiong, Jianan Liu, Tao Huang, Qing-Long Han, Yuxuan Xia, Bing Zhu

They are sent to the core of LXL, called "radar occupancy-assisted depth-based sampling", to aid image view transformation.

3D Object Detection Autonomous Driving +3

Contrastive Learning for Automotive mmWave Radar Detection Points Based Instance Segmentation

no code implementations • 13 Mar 2022 • Weiyi Xiong, Jianan Liu, Yuxuan Xia, Tao Huang, Bing Zhu, Wei Xiang

Deep learning-based instance segmentation enables real-time object identification from the radar detection points.

Autonomous Driving Contrastive Learning +2

Deep Instance Segmentation with Automotive Radar Detection Points

no code implementations • 5 Oct 2021 • Jianan Liu, Weiyi Xiong, Liping Bai, Yuxuan Xia, Tao Huang, Wanli Ouyang, Bing Zhu

Automotive radar provides reliable environmental perception in all-weather conditions with affordable cost, but it hardly supplies semantic and geometry information due to the sparsity of radar detection points.

Autonomous Driving Clustering +3