Publications (18)
AFFormer: Adaptive Feature Fusion Transformer for V2X Cooperative Perception under Channel Impairments
Xi Zhou, Tao Huang, Qing-Long Han +2
Accurate 3D object detection is essential for ensuring the safety of autonomous vehicles. Cooperative perception, which leverages vehicle-to-everything (V2X) communication to share…
LEGO: Learning and Graph-Optimized Modular Tracker for Online Multi-Object Tracking with Point Clouds
Zhenrong Zhang, Jianan Liu, Yuxuan Xia +3
Online multi-object tracking (MOT) plays a pivotal role in autonomous systems. The state-of-the-art approaches usually employ a tracking-by-detection method, and data association p…
MS-Occ: Multi-Stage LiDAR-Camera Fusion for 3D Semantic Occupancy Prediction
Zhiqiang Wei, Lianqing Zheng, Jianan Liu +4
Accurate 3D semantic occupancy perception is essential for autonomous driving in complex environments with diverse and irregular objects. While vision-centric methods suffer from g…
Multi-Agent Systems: From Classical Paradigms to Large Foundation Model-Enabled Futures
Zixiang Wang, Mengjia Gong, Qiyu Sun +5
With the rapid advancement of artificial intelligence, multi-agent systems (MASs) are evolving from classical paradigms toward architectures built upon large foundation models (LFM…
Vehicle-to-Everything Cooperative Perception for Autonomous Driving
Tao Huang, Jianan Liu, Xi Zhou +5
Achieving fully autonomous driving with enhanced safety and efficiency relies on vehicle-to-everything cooperative perception, which enables vehicles to share perception data, ther…
LXL: LiDAR Excluded Lean 3D Object Detection with 4D Imaging Radar and Camera Fusion
Weiyi Xiong, Jianan Liu, Tao Huang +3
As an emerging technology and a relatively affordable device, the 4D imaging radar has already been confirmed effective in performing 3D object detection in autonomous driving. Nev…