Learn More
— Recognizing driver awareness is an important prerequisite for the design of advanced automotive safety systems. Since visual attention is constrained to a driver's field of view, knowing where a driver is looking provides useful cues about his activity and awareness of the environment. This work presents an identity-and lighting-invariant system to(More)
In this paper, we introduce a novel laser-based wide-area heads-up windshield display which is capable of actively interfacing with a human as part of a driver assistance system. The dynamic active display (DAD) is a unique prototype interface that presents safety-critical visual icons to the driver in a manner that minimizes the deviation of his or her(More)
—Driver behavioral cues may present a rich source of information and feedback for future intelligent advanced driver-assistance systems (ADASs). With the design of a simple and robust ADAS in mind, we are interested in determining the most important driver cues for distinguishing driver intent. Eye gaze may provide a more accurate proxy than head movement(More)
W ith more than 33,000 fatalities on US roads each year, and almost 50 percent of these caused by roadway departures, pervasive assistance systems with time-and safety-critical capabilities are increasingly important. The next generation of advanced driver-assistance systems (ADAS) will need to use a holistic awareness of the vehicle, its surroundings, and(More)
— Drawing upon fundamental research in human behavior prediction, recently there has been a research focus on how to predict driver behaviors. In this paper we review the field of driver behavior and intent prediction, with a specific focus on tactical maneuvers, as opposed to operational or strategic maneuvers. The aim of a driver behavior prediction(More)
We introduce a new approach to analyzing the attentive state of a human subject, given cameras focused on the subject and their environment. In particular, the task of analyzing the focus of attention of a human driver is of primary concern. Up to 80% of automobile crashes are related to driver inattention; thus it is important for an Intelligent Driver(More)
The dynamics of overt visual attention shifts evoke certain patterns of responses in eye and head movements. In this work, we detail novel findings regarding the interaction of eye gaze and head pose under various attention-switching conditions in complex environments and safety critical tasks such as driving. In particular, we find that sudden, bottom-up(More)
— Confronted with the broad range of personalities of drivers on the roads today, in-vehicle technology must be able to function either in spite of or in harmony with each driver's style. Individual drivers act and respond in different manners under various conditions, and many Driver Assistance Systems would benefit from some measure of the driver's likely(More)
Article history: Available online xxxx Keywords: Gesture analysis Hidden Markov Models Optical flow Intelligent Driver Assistance Active safety Accident prevention Pedal misapplications Foot tracking Intelligent vehicle a b s t r a c t Understanding driver behavior is an essential component in human-centric Intelligent Driver Assistance Systems.(More)