2 citations · 4 across the 4 of their papers we have counts for
4 papers
Multi-modal Fusion Technology based on Vehicle Information: A Survey
Yan Gong, Jianli Lu, Jiayi Wu +1
Multi-modal fusion is a basic task of autonomous driving system perception, which has attracted many scholars' interest in recent years. The current multi-modal fusion methods main…
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,…
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…