Estimation of collision risk for improving driver's safety
Joko Hariyono, Ajmal Shahbaz, Laksono Kurnianggoro, Kang-Hyun Jo · 2016
This paper introduces a method for analyzing the critical situation based on collision risk probability. Pedestrians in the scene are captured from a monocular camera mounted on the vehicle. Position information of object is extracted by projecting the centroid of bounding box to the ground plane. Five elements of collision criteria are used for our risk analysis. Pedestrian walking direction, its velocity and how aware pedestrian to the traffic are obtained from the pedestrian side. Car speed and relative distance of pedestrian from the car are extracted from car side. Then, with certain values of collision criteria, those elements are constructed. The critical situation is defined as joint probability of elements. Pedestrian are localized according to the critical situation as green for secure label, yellow for carefully and red for high priority to be alerted. A quantitative analysis is performed by measuring effectiveness of this approach. A real-world measurement and human perception survey are performed for evaluation. The performance evaluation shows our proposed method achieved average accuracy 87.5% and it significantly outperforms human perception survey with more than 30% improvement.