Nov 24, 2023 · Our quantitative analysis focuses on GPT-4V's ability to predict pedestrian behavior in current and future frames. The model achieves a 57% accuracy in a zero- ...
GPT-4V exhibits variable accuracy and reliabil-ity across behaviors. The consistently high precision in 'ac-tion' suggests strong predictive capabilities.
Oct 22, 2024 · Our quantitative analysis focuses on GPT-4V's ability to predict pedestrian behavior in current and future frames. The model achieves a 57% ...
Quantitative and qualitative evaluations demonstrate GPT-4V(ision)'s promise in zero-shot pedestrian behavior prediction and driving scene understaning ...
Nov 27, 2023 · However, challenges remain in handling small pedestrians ... promise in zero-shot pedestrian behavior prediction and driving scene understanding.
Nov 24, 2023 · Existing pedestrian behavior prediction methods rely primarily on deep neural networks that utilize features extracted from video frame ...
Gautam, and S. Saripalli, “Gpt-4v takes the wheel: Evaluating promise and challenges for pedestrian behavior prediction,” arXiv preprint arXiv:2311.14786, 2023.
Nov 28, 2023 · GPT-4V Takes the Wheel: Evaluating Promise and Challenges for Pedestrian Behavior Prediction. (arXiv:2311.14786v1 [https://t.co/BrBPBZFbbU]) ...
GPT-4V Takes the Wheel: Promises and Challenges for Pedestrian Behavior Prediction. J Huang, P Jiang, A Gautam, S Saripalli. Proceedings of the AAAI Symposium ...
Predicting pedestrian behavior is the key to ensure safety and reliability of autonomous vehicles. While deep learning methods have been promising by ...
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