111 citations · 234 across the 8 of their papers we have counts for
8 papers
RCGDet3D: Rethinking 4D Radar-Camera Fusion-based 3D Object Detection with Enhanced Radar Feature Encoding
Weiyi Xiong, Bing Zhu
4D automotive radar is indispensable for autonomous driving due to its low cost and robustness, yet its point cloud sparsity challenges 3D object detection. Existing 4D radar-camer…
RadarGaussianDet3D: Gaussian Representation-based Real-time 3D Object Detection with 4D Automotive Radars
Weiyi Xiong, Bing Zhu, Zewei Zheng
4D automotive radars have gained increasing attention for autonomous driving due to their low cost, robustness, and inherent velocity measurement capability. However, existing 4D r…
LXLv2: Enhanced LiDAR Excluded Lean 3D Object Detection with Fusion of 4D Radar and Camera
Weiyi Xiong, Zean Zou, Qiuchi Zhao +2
As the previous state-of-the-art 4D radar-camera fusion-based 3D object detection method, LXL utilizes the predicted image depth distribution maps and radar 3D occupancy grids to a…
ProbRadarM3F: mmWave Radar based Human Skeletal Pose Estimation with Probability Map Guided Multi-Format Feature Fusion
Bing Zhu, Zixin He, Weiyi Xiong +3
Millimeter wave (mmWave) radar is a non-intrusive privacy and relatively convenient and inexpensive device, which has been demonstrated to be applicable in place of RGB cameras in…
SMURF: Spatial Multi-Representation Fusion for 3D Object Detection with 4D Imaging Radar
Jianan Liu, Qiuchi Zhao, Weiyi Xiong +3
The 4D Millimeter wave (mmWave) radar is a promising technology for vehicle sensing due to its cost-effectiveness and operability in adverse weather conditions. However, the adopti…
LXL: LiDAR Excluded Lean 3D Object Detection with 4D Imaging Radar and Camera Fusion
Weiyi Xiong, Jianan Liu, Tao Huang +3
As an emerging technology and a relatively affordable device, the 4D imaging radar has already been confirmed effective in performing 3D object detection in autonomous driving. Nev…
Contrastive Learning for Automotive mmWave Radar Detection Points Based Instance Segmentation
Weiyi Xiong, Jianan Liu, Yuxuan Xia +3
The automotive mmWave radar plays a key role in advanced driver assistance systems (ADAS) and autonomous driving. Deep learning-based instance segmentation enables real-time object…
Deep Instance Segmentation with Automotive Radar Detection Points
Jianan Liu, Weiyi Xiong, Liping Bai +4
Automotive radar provides reliable environmental perception in all-weather conditions with affordable cost, but it hardly supplies semantic and geometry information due to the spar…