3 citations · 5 across the 3 of their papers we have counts for
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cs.RO2024★ 2 cited
Towards a Universal Evaluation Model for Careful and Competent Autonomous Driving
Kethan Reddy, Elias Nassif, Panagiotis Angeloudis +2
Virtual scenario-based testing methods to validate autonomous driving systems are predominantly centred around collision avoidance, and lack a comprehensive approach to evaluate op…
cs.RO2024★ 3 cited
Enhancing Autonomous Vehicle Training with Language Model Integration and Critical Scenario Generation
Hanlin Tian, Kethan Reddy, Yuxiang Feng +3
This paper introduces CRITICAL, a novel closed-loop framework for autonomous vehicle (AV) training and testing. CRITICAL stands out for its ability to generate diverse scenarios, f…