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A Real-time Evaluation Framework for Pedestrian's Potential Risk at Non-Signalized Intersections Based on Predicted Post-Encroachment Time
April 25, 2024, 7:43 p.m. | Tengfeng Lin, Zhixiong Jin, Seongjin Choi, Hwasoo Yeo
cs.LG updates on arXiv.org arxiv.org
Abstract: Addressing pedestrian safety at intersections is one of the paramount concerns in the field of transportation research, driven by the urgency of reducing traffic-related injuries and fatalities. With advances in computer vision technologies and predictive models, the pursuit of developing real-time proactive protection systems is increasingly recognized as vital to improving pedestrian safety at intersections. The core of these protection systems lies in the prediction-based evaluation of pedestrian's potential risks, which plays a significant role …
abstract advances arxiv computer computer vision concerns cs.cv cs.lg evaluation framework pedestrian predictive predictive models real-time research risk safety technologies traffic transportation type vision
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