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Guru Nandhan Appiya Dilipkumar Peethambari

2 accepted papers

2025

DISC: Dataset for Analyzing Driving Styles in Simulated Crashes for Mixed Autonomy

ICRA 2025

Handling pre-crash scenarios is still a major challenge for self-driving cars due to limited practical data and human-driving behavior datasets. We introduce DISC (Driving Styles In Simulated Crashes), one of the first datasets designed to capture various driving styles and behaviors in precrash sce

Cited by 2SourceScholar
2024

TRAVERSE: Traffic-Responsive Autonomous Vehicle Experience & Rare-event Simulation for Enhanced safety

IROS 2024poster

Data for training learning-enabled self-driving cars in the physical world are typically collected in a safe, normal environment. Such data distribution often engenders a strong bias towards safe driving, making self-driving cars unprepared when encountering adversarial scenarios like unexpected acc…

Cited by 1SourceScholar