activity
20192025
most citedA Learning-based Stochastic Driving Model for Autonomous Vehicle Testing

2 citations · 2 across the 1 of their papers we have counts for

collaborators

5 papers

cs.CV2025

Doracamom: Joint 3D Detection and Occupancy Prediction with Multi-view 4D Radars and Cameras for Omnidirectional Perception

Lianqing Zheng, Jianan Liu, Runwei Guan +8

3D object detection and occupancy prediction are critical tasks in autonomous driving, attracting significant attention. Despite the potential of recent vision-based methods, they…

cs.CV2025

MetaOcc: Spatio-Temporal Fusion of Surround-View 4D Radar and Camera for 3D Occupancy Prediction with Dual Training Strategies

Long Yang, Lianqing Zheng, Wenjin Ai +8

Robust 3D occupancy prediction is essential for autonomous driving, particularly under adverse weather conditions where traditional vision-only systems struggle. While the fusion o…

cs.CV2024

OmniHD-Scenes: A Next-Generation Multimodal Dataset for Autonomous Driving

Lianqing Zheng, Long Yang, Qunshu Lin +10

The rapid advancement of deep learning has intensified the need for comprehensive data for use by autonomous driving algorithms. High-quality datasets are crucial for the developme…

eess.SY20212 cited

A Learning-based Stochastic Driving Model for Autonomous Vehicle Testing

Lin Liu, Shuo Feng, Yiheng Feng +2

In the simulation-based testing and evaluation of autonomous vehicles (AVs), how background vehicles (BVs) drive directly influences the AV's driving behavior and further impacts t…

eess.SY2019

A Gradual Takeover Strategy of the Active Safety System

Rui Liu, Xichan Zhu, Xuan Zhao +1

A gradual takeover strategy is proposed, in which the dynamic driving privilege assignment in real-time and the driving privilege gradual handover are realized. Firstly, the drivin…