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Jiadong Tu

2 accepted papers

2025

Can LVLMs Obtain a Driver’s License? A Benchmark Towards Reliable AGI for Autonomous Driving

AAAI 2025technical

Large Vision-Language Models (LVLMs) have recently garnered significant attention, with many efforts aimed at harnessing their general knowledge to enhance the interpretability and robustness of autonomous driving models. However, LVLMs typically rely on large, general-purpose datasets and lack the…

Cited by 4SourcePDFScholar
2025

ReAL-AD: Towards Human-Like Reasoning in End-to-End Autonomous Driving

ICCV 2025poster

End-to-end autonomous driving has emerged as a promising approach to unify perception, prediction, and planning within a single framework, reducing information loss and improving adaptability. However, existing methods often rely on fixed and sparse trajectory supervision, limiting their ability to…

Cited by 0SourcePDFScholar