17 citations · 33 across the 5 of their papers we have counts for
5 papers
PPD: A New Valet Parking Pedestrian Fisheye Dataset for Autonomous Driving
Zizhang Wu, Xinyuan Chen, Fan Song +4
Pedestrian detection under valet parking scenarios is fundamental for autonomous driving. However, the presence of pedestrians can be manifested in a variety of ways and postures u…
LineMarkNet: Line Landmark Detection for Valet Parking
Zizhang Wu, Yuanzhu Gan, Tianhao Xu +2
We aim for accurate and efficient line landmark detection for valet parking, which is a long-standing yet unsolved problem in autonomous driving. To this end, we present a deep lin…
Graph-Segmenter: Graph Transformer with Boundary-aware Attention for Semantic Segmentation
Zizhang Wu, Yuanzhu Gan, Tianhao Xu +1
The transformer-based semantic segmentation approaches, which divide the image into different regions by sliding windows and model the relation inside each window, have achieved ou…
Learning Monocular Depth in Dynamic Environment via Context-aware Temporal Attention
Zizhang Wu, Zhuozheng Li, Zhi-Gang Fan +4
The monocular depth estimation task has recently revealed encouraging prospects, especially for the autonomous driving task. To tackle the ill-posed problem of 3D geometric reasoni…
Surround-view Fisheye BEV-Perception for Valet Parking: Dataset, Baseline and Distortion-insensitive Multi-task Framework
Zizhang Wu, Yuanzhu Gan, Xianzhi Li +4
Surround-view fisheye perception under valet parking scenes is fundamental and crucial in autonomous driving. Environmental conditions in parking lots perform differently from the…