8 citations · 14 across the 15 of their papers we have counts for
5 papers · 1 filter
Anchor3DLane++: 3D Lane Detection via Sample-Adaptive Sparse 3D Anchor Regression
Shaofei Huang, Zhenwei Shen, Zehao Huang +4
In this paper, we focus on the challenging task of monocular 3D lane detection. Previous methods typically adopt inverse perspective mapping (IPM) to transform the Front-Viewed (FV…
MV2DFusion: Leveraging Modality-Specific Object Semantics for Multi-Modal 3D Detection
Zitian Wang, Zehao Huang, Yulu Gao +2
The rise of autonomous vehicles has significantly increased the demand for robust 3D object detection systems. While cameras and LiDAR sensors each offer unique advantages--cameras…
Enhancing 3D Lane Detection and Topology Reasoning with 2D Lane Priors
Han Li, Zehao Huang, Zitian Wang +3
3D lane detection and topology reasoning are essential tasks in autonomous driving scenarios, requiring not only detecting the accurate 3D coordinates on lane lines, but also reaso…
SparseFusion: Efficient Sparse Multi-Modal Fusion Framework for Long-Range 3D Perception
Yiheng Li, Hongyang Li, Zehao Huang +2
Multi-modal 3D object detection has exhibited significant progress in recent years. However, most existing methods can hardly scale to long-range scenarios due to their reliance on…
Lightning NeRF: Efficient Hybrid Scene Representation for Autonomous Driving
Junyi Cao, Zhichao Li, Naiyan Wang +1
Recent studies have highlighted the promising application of NeRF in autonomous driving contexts. However, the complexity of outdoor environments, combined with the restricted view…