Ruihao Wang — accepted AI-conference papers

2024

FD3D: Exploiting Foreground Depth Map for Feature-Supervised Monocular 3D Object Detection

Zizhang Wu, Yuanzhu Gan, Yunzhe Wu, Ruihao Wang, Xiaoquan Wang, Jian Pu

AAAI 2024technical

Monocular 3D object detection usually adopts direct or hierarchical label supervision. Recently, the distillation supervision transfers the spatial knowledge from LiDAR- or stereo-based teacher networks to monocular detectors, but remaining the domain gap. To mitigate this issue and pursue adequate…

Cited by 6 Source ↗PDF ↗Scholar ↗

2023

BEV-LaneDet: An Efficient 3D Lane Detection Based on Virtual Camera via Key-Points

Ruihao Wang, Jian Qin, Kaiying Li, Yaochen Li, Dong Cao, Jintao Xu

CVPR 2023poster

3D lane detection which plays a crucial role in vehicle routing, has recently been a rapidly developing topic in autonomous driving. Previous works struggle with practicality due to their complicated spatial transformations and inflexible representations of 3D lanes. Faced with the issues, our work…

Cited by 58 Source ↗PDF ↗code ↗Scholar ↗