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https://arxiv.org › abs
Prediction of pedestrian crossing intention is a critical function in autonomous vehicles Conventional vision based
https://www.researchgate.net › publication
Additionally the fine tuning of domain specific data enables DriveGPT4 to yield close or even improved results in terms
https://botmahn.github.io › pqa_pw
A unified explainable framework for pedestrian behavior Pedestrian intention and trajectory prediction are critical for the safe
https://ieeexplore.ieee.org › document
Prediction of pedestrian crossing intention is a critical function in autonomous vehicles Conventional vision based methods of
https://github.com › ucla-mobility › AutoVLA
NeurIPS 2025 This is the official implementation of the paper AutoVLA A Vision Language Action Model for End to End
https://www.researchgate.net › publication
Recent studies in applications of Large Language Models LLM and Vision Language Models VLM have achieved
https://sweettea.co › resources
A LoRA fine tuned version of Qwen2 5 VL 3B Instruct for pedestrian crossing intention prediction trained with Chain of Thought
https://cvit.iiit.ac.in › images › ConferencePapers
Abstract Pedestrian intention and trajectory prediction are critical for the safe deployment of autonomous driving systems directly
https://trid.trb.org › View
Pedestrian Vision Language Model for Intentions Prediction Effective modeling of human behavior is crucial for the safe and reliable
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