no code implementations • 26 Apr 2024 • Zhenrong Zhang, Jianan Liu, Xi Zhou, Tao Huang, Qing-Long Han, Jingxin Liu, Hongbin Liu
Cooperative perception is essential to enhance the efficiency and safety of future transportation systems, requiring extensive data sharing among vehicles on the road, which raises significant privacy concerns.
no code implementations • 5 Oct 2023 • Tao Huang, Jianan Liu, Xi Zhou, Dinh C. Nguyen, Mostafa Rahimi Azghadi, Yuxuan Xia, Qing-Long Han, Sumei Sun
Achieving fully autonomous driving with heightened safety and efficiency depends on vehicle-to-everything (V2X) cooperative perception (CP), which allows vehicles to share perception data, thereby enhancing situational awareness and overcoming the limitations of the sensing ability of individual vehicles.
no code implementations • 19 Aug 2023 • Zhenrong Zhang, Jianan Liu, Yuxuan Xia, Tao Huang, Qing-Long Han, Hongbin Liu
The state-of-the-art approaches usually employ a tracking-by-detection method, and data association plays a critical role.
no code implementations • 20 Jul 2023 • Jianan Liu, Qiuchi Zhao, Weiyi Xiong, Tao Huang, Qing-Long Han, Bing Zhu
Additionally, KDE helps alleviate point cloud sparsity by capturing density features.
Ranked #4 on
3D Object Detection
on View-of-Delft (val)
no code implementations • 3 Jul 2023 • Weiyi Xiong, Jianan Liu, Tao Huang, Qing-Long Han, Yuxuan Xia, Bing Zhu
They are sent to the core of LXL, called "radar occupancy-assisted depth-based sampling", to aid image view transformation.
Ranked #3 on
3D Object Detection (RoI)
on View-of-Delft (val)
no code implementations • 13 Nov 2022 • Wenqi Ren, Yang Tang, Qiyu Sun, Chaoqiang Zhao, Qing-Long Han
Specifically, the preliminaries on few/zero-shot visual semantic segmentation, including the problem definitions, typical datasets, and technical remedies, are briefly reviewed and discussed.
no code implementations • 11 Nov 2022 • Yanlong Yang, Jianan Liu, Tao Huang, Qing-Long Han, Gang Ma, Bing Zhu
Recent state-of-the-art works reveal that the fusion of radar and LiDAR can lead to robust detection in adverse weather.
1 code implementation • 21 Jun 2022 • Jianan Liu, Liping Bai, Yuxuan Xia, Tao Huang, Bing Zhu, Qing-Long Han
The global nearest neighbor (GNN) filter, as the earliest random vector-based Bayesian tracking framework, has been adopted in most of state-of-the-arts trackers in the automotive industry.
no code implementations • 5 Apr 2021 • Yao Deng, Tiehua Zhang, Guannan Lou, Xi Zheng, Jiong Jin, Qing-Long Han
The rapid development of artificial intelligence, especially deep learning technology, has advanced autonomous driving systems (ADSs) by providing precise control decisions to counterpart almost any driving event, spanning from anti-fatigue safe driving to intelligent route planning.
2 code implementations • 16 Feb 2021 • Yuantian Miao, Chao Chen, Lei Pan, Qing-Long Han, Jun Zhang, Yang Xiang
Stealing attack against controlled information, along with the increasing number of information leakage incidents, has become an emerging cyber security threat in recent years.
1 code implementation • 6 Feb 2019 • Derui Wang, Chaoran Li, Sheng Wen, Qing-Long Han, Surya Nepal, Xiangyu Zhang, Yang Xiang
Experimental results demonstrate that the attack effectively stops NMS from filtering redundant bounding boxes.