Title :
Recognizing Driver Awareness of Pedestrian
Author :
Minh Tien Phan ; Fremont, Vincent ; Thouvenin, Indira ; Sallak, Mohamed ; Cherfaoui, Veronique
Author_Institution :
Heudiasyc Lab., Univ. of Technol. of Compiegne, Compiegne, France
Abstract :
In this paper, we propose a novel approach to recognize the awareness or the unawareness that a driver has of a pedestrian appearing on the road in front of the vehicle. Based on the theory of situation awareness and the collected driving data from the on board sensors, a suitable Hidden Markov Model (HMM) is used to model the “Driver Awareness of Pedestrian” and the “Driver Unawareness of Pedestrian”. These behaviors are then recognized by using a maximum-likelihood decision method. A real-time validation taken on a driving simulator shows that the model and the output decisions are accurate and efficient.
Keywords :
behavioural sciences computing; driver information systems; hidden Markov models; maximum likelihood estimation; pedestrians; road vehicles; HMM; driver awareness; hidden Markov model; maximum-likelihood decision method; pedestrian; road vehicle; Acceleration; Hidden Markov models; Roads; Sensors; Training; Vehicles; Wheels; Driver Behaviors Modeling; Hidden Markov Model; Pedestrian Safety; Situation Awareness;
Conference_Titel :
Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on
Conference_Location :
Qingdao
DOI :
10.1109/ITSC.2014.6957823
