no code implementations • 20 Sep 2023 • Zizhang Wu, Xinyuan Chen, Fan Song, Yuanzhu Gan, Tianhao Xu, Jian Pu, Rui Tang
In this paper, wepresent the Parking Pedestrian Dataset (PPD), a large-scale fisheye dataset to support research dealing with real-world pedestrians, especially with occlusions and diverse postures.
no code implementations • 19 Sep 2023 • Zizhang Wu, Yuanzhu Gan, Tianhao Xu, Rui Tang, Jian Pu
We aim for accurate and efficient line landmark detection for valet parking, which is a long-standing yet unsolved problem in autonomous driving.
no code implementations • 15 Aug 2023 • Zizhang Wu, Chenxin Yuan, Hongyang Wei, Fan Song, Tianhao Xu
The compiled dataset consists of 650K images, including different face and vehicle license plate information captured by the surround-view fisheye camera.
no code implementations • 15 Aug 2023 • Zizhang Wu, Yuanzhu Gan, Tianhao Xu, Fan Wang
To address this issue, we propose a Graph-Segmenter, including a Graph Transformer and a Boundary-aware Attention module, which is an effective network for simultaneously modeling the more profound relation between windows in a global view and various pixels inside each window as a local one, and for substantial low-cost boundary adjustment.
no code implementations • 13 Dec 2022 • Zizhang Wu, Man Wang, Weiwei Sun, Yuchen Li, Tianhao Xu, Fan Wang, Keke Huang
Channel and spatial attention mechanism has proven to provide an evident performance boost of deep convolution neural networks (CNNs).
no code implementations • 8 Dec 2022 • Zizhang Wu, Yuanzhu Gan, Xianzhi Li, Yunzhe Wu, Xiaoquan Wang, Tianhao Xu, Fan Wang
Most existing networks based on public datasets may generalize suboptimal results on these valet parking scenes, also affected by the fisheye distortion.
no code implementations • 8 Dec 2022 • Zizhang Wu, Tianhao Xu, Fan Wang, Xiaoquan Wang, Jing Song
Vehicle re-identification (Re-ID) is a critical component of the autonomous driving perception system, and research in this area has accelerated in recent years.
no code implementations • 8 Dec 2022 • Zizhang Wu, Xinyuan Chen, Jizheng Wang, Xiaoquan Wang, Yuanzhu Gan, Muqing Fang, Tianhao Xu
Obtaining the position of ego-vehicle is a crucial prerequisite for automatic control and path planning in the field of autonomous driving.
no code implementations • 28 Jan 2022 • Zizhang Wu, Jason Wang, Tianhao Xu, Fan Wang
The owner-member relationship between wheels and vehicles contributes significantly to the 3D perception of vehicles, especially in embedded environments.
no code implementations • 30 Mar 2021 • Zizhang Wu, Man Wang, Jason Wang, Wenkai Zhang, Muqing Fang, Tianhao Xu
It's worth noting that the owner-member relationship between wheels and vehicles has an significant contribution to the 3D perception of vehicles, especially in the embedded environment.