activity
20242026
most citedDecictor: Towards Evaluating the Robustness of Decision-Making in Autonomous Driving Systems

2 citations · 3 across the 7 of their papers we have counts for

collaborators
Showing 2025Show all

5 papers · 1 filter

cs.SE2025

STCLocker: Deadlock Avoidance Testing for Autonomous Driving Systems

Mingfei Cheng, Renzhi Wang, Xiaofei Xie +2

Autonomous Driving System (ADS) testing is essential to ensure the safety and reliability of autonomous vehicles (AVs) before deployment. However, existing techniques primarily foc…

cs.LG2025

ADReFT: Adaptive Decision Repair for Safe Autonomous Driving via Reinforcement Fine-Tuning

Mingfei Cheng, Xiaofei Xie, Renzhi Wang +2

Autonomous Driving Systems (ADSs) continue to face safety-critical risks due to the inherent limitations in their design and performance capabilities. Online repair plays a crucial…

cs.SE2025

Causality-aware Safety Testing for Autonomous Driving Systems

Wenbing Tang, Mingfei Cheng, Renzhi Wang +4

Simulation-based testing is essential for evaluating the safety of Autonomous Driving Systems (ADSs). Comprehensive evaluation requires testing across diverse scenarios that can tr…

cs.SE2025

Moral Testing of Autonomous Driving Systems

Wenbing Tang, Mingfei Cheng, Yuan Zhou +1

Autonomous Driving System (ADS) testing plays a crucial role in their development, with the current focus primarily on functional and safety testing. However, evaluating the non-fu…

cs.SE2025

MoDitector: Module-Directed Testing for Autonomous Driving Systems

Renzhi Wang, Mingfei Cheng, Xiaofei Xie +2

Testing Autonomous Driving Systems (ADS) is crucial for ensuring their safety, reliability, and performance. Despite numerous testing methods available that can generate diverse an…