Agreeing to Cross: How Drivers and Pedestrians Communicate

Abstract

The contribution of this paper is twofold. The first is a novel dataset for studying behaviors of traffic participants while crossing. Our dataset contains more than 650 samples of pedestrian behaviors in various street configurations and weather conditions. These examples were selected from approx. 240 hours of driving in the city, suburban and urban roads. The second contribution is an analysis of our data from the point of view of joint attention. We identify what types of non-verbal communication cues road users use at the point of crossing, their responses, and under what circumstances the crossing event takes place. It was found that in more than 90% of the cases pedestrians gaze at the approaching cars prior to crossing in non-signalized crosswalks. The crossing action, however, depends on additional factors such as time to collision (TTC), explicit driver's reaction or structure of the crosswalk.

arXiv comment6 pages, 6 figures

Cited by in corpus (4)

• Explanations in Autonomous Driving: A Survey
• Decoding pedestrian and automated vehicle interactions using immersive virtual reality and interpretable deep learning
• Joint Attention in Driver-Pedestrian Interaction: from Theory to Practice
• PePScenes: A Novel Dataset and Baseline for Pedestrian Action Prediction in 3D