8 citations · 28 across the 10 of their papers we have counts for
10 papers
Dual Radar: A Multi-modal Dataset with Dual 4D Radar for Autonomous Driving
Xinyu Zhang, Li Wang, Jian Chen +11
Radar has stronger adaptability in adverse scenarios for autonomous driving environmental perception compared to widely adopted cameras and LiDARs. Compared with commonly used 3D r…
Fuzzy-NMS: Improving 3D Object Detection with Fuzzy Classification in NMS
Li Wang, Xinyu Zhang, Fachuan Zhao +6
Non-maximum suppression (NMS) is an essential post-processing module used in many 3D object detection frameworks to remove overlapping candidate bounding boxes. However, an overrel…
MonoGAE: Roadside Monocular 3D Object Detection with Ground-Aware Embeddings
Lei Yang, Jiaxin Yu, Xinyu Zhang +6
Although the majority of recent autonomous driving systems concentrate on developing perception methods based on ego-vehicle sensors, there is an overlooked alternative approach th…
BEVHeight++: Toward Robust Visual Centric 3D Object Detection
Lei Yang, Tao Tang, Jun Li +6
While most recent autonomous driving system focuses on developing perception methods on ego-vehicle sensors, people tend to overlook an alternative approach to leverage intelligent…
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection
Lei Yang, Kaicheng Yu, Tao Tang +5
While most recent autonomous driving system focuses on developing perception methods on ego-vehicle sensors, people tend to overlook an alternative approach to leverage intelligent…
CAMO-MOT: Combined Appearance-Motion Optimization for 3D Multi-Object Tracking with Camera-LiDAR Fusion
Li Wang, Xinyu Zhang, Wenyuan Qin +7
3D Multi-object tracking (MOT) ensures consistency during continuous dynamic detection, conducive to subsequent motion planning and navigation tasks in autonomous driving. However,…
Intelligent Amphibious Ground-Aerial Vehicles: State of the Art Technology for Future Transportation
Xinyu Zhang, Jiangeng Huang, Yuanhao Huang +7
Amphibious ground-aerial vehicles fuse flying and driving modes to enable more flexible air-land mobility and have received growing attention recently. By analyzing the existing am…
Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object Detection
Lei Yang, Xinyu Zhang, Li Wang +3
Monocular 3D object detection is an essential perception task for autonomous driving. However, the high reliance on large-scale labeled data make it costly and time-consuming durin…
Lite-FPN for Keypoint-based Monocular 3D Object Detection
Lei Yang, Xinyu Zhang, Li Wang +2
3D object detection with a single image is an essential and challenging task for autonomous driving. Recently, keypoint-based monocular 3D object detection has made tremendous prog…
S-AT GCN: Spatial-Attention Graph Convolution Network based Feature Enhancement for 3D Object Detection
Li Wang, Chenfei Wang, Xinyu Zhang +2
3D object detection plays a crucial role in environmental perception for autonomous vehicles, which is the prerequisite of decision and control. This paper analyses partition-based…