Intention estimation is a way to realize an effective driver support. The construction of driving#N# behavior model is an important step for its realization through a model based prediction of driver’s behavior in#N# real driving situation. For the purpose, we constructed a computational model of hazard perception while#N# driving assuming a hazard as a possibility of contact with other objects. We formalized two types of hazard, an#N# explicit hazard and an implicit hazard based on the position probability distribution of object. We compared a#N# reconstructed eye movement by the model and a human eye movement.
['Kazutaka Kouda', 'Takashi Omori', 'Koichiro Yamauchi', 'Satoru Ishikawa']
Modeling of Car Driver Cognitive Process Based on Hazard Perception in Front of Car