no code implementations • 9 Apr 2024 • Senkang Hu, Zhengru Fang, Zihan Fang, Yiqin Deng, Xianhao Chen, Yuguang Fang
In addition, the single-vehicle autonomous driving systems lack of the ability of collaboration and negotiation with other vehicles, which is crucial for the safety and efficiency of autonomous driving systems.
no code implementations • 3 Jan 2024 • Senkang Hu, Zhengru Fang, Yiqin Deng, Xianhao Chen, Yuguang Fang
Autonomous driving has attracted significant attention from both academia and industries, which is expected to offer a safer and more efficient driving system.
1 code implementation • 28 Nov 2023 • Senkang Hu, Zhengru Fang, Xianhao Chen, Yuguang Fang, Sam Kwong
To address these challenges, we propose a unified domain generalization framework applicable in both training and inference stages of collaborative perception.
no code implementations • 15 Sep 2023 • Senkang Hu, Zhengru Fang, Haonan An, Guowen Xu, Yuan Zhou, Xianhao Chen, Yuguang Fang
To address these issues, we propose ACC-DA, a channel-aware collaborative perception framework to dynamically adjust the communication graph and minimize the average transmission delay while mitigating the side effects from the data heterogeneity.