5 papers
Latent Two-Sample Testing for Fair Autonomous Vehicle Road Evaluation
Qiujing Lu, Xuanhan Wang, Guanghong Jia +5
With the rapid advancement of autonomous vehicle (AV) systems, fast and reliable iteration through road testing has become increasingly critical. However, changes in testing enviro…
Controllable risk scenario generation from human crash data for autonomous vehicle testing
Qiujing Lu, Xuanhan Wang, Runze Yuan +3
Ensuring the safety of autonomous vehicles (AV) requires rigorous testing under both everyday driving and rare, safety-critical conditions. A key challenge lies in simulating envir…
IntersectioNDE: Learning Complex Urban Traffic Dynamics based on Interaction Decoupling Strategy
Enli Lin, Ziyuan Yang, Qiujing Lu +2
Realistic traffic simulation is critical for ensuring the safety and reliability of autonomous vehicles (AVs), especially in complex and diverse urban traffic environments. However…
Realistic Corner Case Generation for Autonomous Vehicles with Multimodal Large Language Model
Qiujing Lu, Meng Ma, Ximiao Dai +2
To guarantee the safety and reliability of autonomous vehicle (AV) systems, corner cases play a crucial role in exploring the system's behavior under rare and challenging condition…
Multimodal Large Language Model Driven Scenario Testing for Autonomous Vehicles
Qiujing Lu, Xuanhan Wang, Yiwei Jiang +3
The generation of corner cases has become increasingly crucial for efficiently testing autonomous vehicles prior to road deployment. However, existing methods struggle to accommoda…