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20242026
most citedSafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models

1 citations · 1 across the 8 of their papers we have counts for

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cs.LG2025

RADE: Learning Risk-Adjustable Driving Environment via Multi-Agent Conditional Diffusion

Jiawei Wang, Xintao Yan, Yao Mu +3

Generating safety-critical scenarios in high-fidelity simulations offers a promising and cost-effective approach for efficient testing of autonomous vehicles. Existing methods typi…