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20222024
most citedEvolving Testing Scenario Generation Method and Intelligence Evaluation Framework for Automated Vehicles

2 citations · 5 across the 5 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…