… driver behavior models and modeling approaches. In heterogeneous streets where humans
and autonomous vehicles … the applications of driver behavior modeling (DBM) for effective …

… autonomous vehicles. To make the article self-contained, we also provide a generic problem
definition for vehicle behaviour … JP How, “Driver behavior classification at intersections and …

… futuristic applications such as autonomous vehicles. In this section we first summarize some
of the current open research challenges and then highlight two emerging directions of future …

… The Jetson also has the major advantage of being supported for use in multiple configurations
for in vehicle applications. Below are the specifications and added improvements of the …

… This thesis proposes an architecture for driver behavior estimation through the unified
development of two theoretical concepts, namely: Graphical models, and Hybrid State Systems. …

… In addition to autonomous driving applications, our dataset fills the lack of a large multi-modal
benchmark for concise recognition on multiple levels of abstraction. An extensive …

… drivers’ response to the lead vehicle depends on their subjective trusts on AV technologies
rather than the actual driving behavior… of the drivers, classic car-following behavior in pure HV …

… applications interested in studying driver behavior which are vehicle-oriented,
management-oriented and driver… Intelligent vehicles systems and autonomous vehicles are recent …

… driver behavior models in microscopic simulation are not always well-suited for modern
applications using CV and automated vehicle (… for incorporating realistic driver behaviors into a …

… For this reason, we believe understanding how humans and autonomous vehicles interact
… advantage of being supported for use in multiple configurations for in vehicle applications. …