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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(More)
Understanding driver behaviors is an important need for the Advanced Driver Assistance Systems. In particular, the pedestrian detection systems become extremely distracting and annoying when they inform the driver with unnecessary warning messages. In this paper, we propose to study the driver behaviors whenever a pedestrian appears in front of the vehicle.(More)
Pedestrian accident is a serious problem for the society. Pedestrian Collision Warning Systems (PCWS) are proposed to detect the presence of pedestrians and to warn the driver about the potential dangers. However, their interfaces associated with ambiguous alerts can distract drivers and create more dangers. On the other hand, Augmented Reality (AR) with(More)
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