collaborators

5 papers

cs.CV2025

SymDrive: Realistic and Controllable Driving Simulator via Symmetric Auto-regressive Online Restoration

Zhiyuan Liu, Daocheng Fu, Pinlong Cai +5

High-fidelity and controllable 3D simulation is essential for addressing the long-tail data scarcity in Autonomous Driving (AD), yet existing methods struggle to simultaneously ach…

cs.RO2025

Modified-Emergency Index (MEI): A Criticality Metric for Autonomous Driving in Lateral Conflict

Hao Cheng, Yanbo Jiang, Qingyuan Shi +5

Effective, reliable, and efficient evaluation of autonomous driving safety is essential to demonstrate its trustworthiness. Criticality metrics provide an objective means of assess…

cs.RO2025

A Generalized Control Revision Method for Autonomous Driving Safety

Zehang Zhu, Yuning Wang, Tianqi Ke +5

Safety is one of the most crucial challenges of autonomous driving vehicles, and one solution to guarantee safety is to employ an additional control revision module after the plann…

cs.RO2024

S2O: An Integrated Driving Decision-making Performance Evaluation Method Bridging Subjective Feeling to Objective Evaluation

Yuning Wang, Zehong Ke, Yanbo Jiang +4

Autonomous driving decision-making is one of the critical modules towards intelligent transportation systems, and how to evaluate the driving performance comprehensively and precis…

cs.CV2024

D2E-An Autonomous Decision-making Dataset involving Driver States and Human Evaluation

Zehong Ke, Yanbo Jiang, Yuning Wang +3

With the advancement of deep learning technology, data-driven methods are increasingly used in the decision-making of autonomous driving, and the quality of datasets greatly influe…