33 citations · 37 across the 7 of their papers we have counts for
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cs.AI2024★ 2 cited
LAMBDA: Covering the Multimodal Critical Scenarios for Automated Driving Systems by Search Space Quantization
Xinzheng Wu, Junyi Chen, Xingyu Xing +4
Scenario-based virtual testing is one of the most significant methods to test and evaluate the safety of automated driving systems (ADSs). However, it is impractical to enumerate a…
cs.SE2024★ 1 cited
High-Dimensional Fault Tolerance Testing of Highly Automated Vehicles Based on Low-Rank Models
Yuewen Mei, Tong Nie, Jian Sun +1
Ensuring fault tolerance of Highly Automated Vehicles (HAVs) is crucial for their safety due to the presence of potentially severe faults. Hence, Fault Injection (FI) testing is co…
cs.LG2024
Flow to Rare Events: An Application of Normalizing Flow in Temporal Importance Sampling for Automated Vehicle Validation
Yichun Ye, He Zhang, Ye Tian +2
Automated Vehicle (AV) validation based on simulated testing requires unbiased evaluation and high efficiency. One effective solution is to increase the exposure to risky rare even…