Adding world-model-generated synthetic driving videos to training data, together with a dynamic graph and dilated temporal model, improves accident anticipation accuracy and lead time on multiple benchmarks.
Driving to safety: How many miles of driving would it take to demonstrate autonomous vehicle reliability? Transportation Research Part A: Policy and Practice, 94:182–193, 2016
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World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving
Adding world-model-generated synthetic driving videos to training data, together with a dynamic graph and dilated temporal model, improves accident anticipation accuracy and lead time on multiple benchmarks.