7 citations · 12 across the 8 of their papers we have counts for
6 papers · 1 filter
Informative Data Selection with Uncertainty for Multi-modal Object Detection
Xinyu Zhang, Zhiwei Li, Zhenhong Zou +5
Noise has always been nonnegligible trouble in object detection by creating confusion in model reasoning, thereby reducing the informativeness of the data. It can lead to inaccurat…
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,…
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…
IPS300+: a Challenging Multimodal Dataset for Intersection Perception System
Huanan Wang, Xinyu Zhang, Jun Li +4
Due to the high complexity and occlusion, insufficient perception in the crowded urban intersection can be a serious safety risk for both human drivers and autonomous algorithms, w…
A novel multimodal fusion network based on a joint coding model for lane line segmentation
Zhenhong Zou, Xinyu Zhang, Huaping Liu +3
There has recently been growing interest in utilizing multimodal sensors to achieve robust lane line segmentation. In this paper, we introduce a novel multimodal fusion architectur…
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…