2 citations · 3 across the 6 of their papers we have counts for
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cs.RO2024★ 1 cited
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…
cs.RO2024★ 2 cited
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…
cs.LG2024
Accurately Predicting Probabilities of Safety-Critical Rare Events for Intelligent Systems
Ruoxuan Bai, Jingxuan Yang, Weiduo Gong +3
Intelligent systems are increasingly integral to our daily lives, yet rare safety-critical events present significant latent threats to their practical deployment. Addressing this…