2025-08-13
This paper proposes BF-PIP, a zero-shot method that utilizes Google's Gemini 2.5 Pro to predict pedestrian crossing intention without any additional training. Unlike conventional frame-based methods, it directly uses short, continuous videos and metadata such as ego-vehicle speed, achieving a high accuracy of 73% and demonstrating the potential for robust intention prediction based on contextual understanding.