… to observe human drivers, estimate their SVOs, and generate an autonomous … behavior
adapts to social preferences of other drivers. By incorporating SVO, we improve autonomous …

… We understand autonomous vehicles as moving embodied agents; ubicomp systems whose
behavior can be observed in the real world. The vehicles’ ability to sense the outside world …

… -distant future by asking everyday people how they would respond to the availability of
autonomous vehicles. Some elements of the technology are already available in vehicles today. …

… An autonomous vehicle equipped with an active camera head has the option to adapt …
vehicle for interacting with the environment. Correspondingly, the upper system level for behavior …

… three-dimensional visual models and vehicle dynamics models into one entity, which is …
autonomous vehicle. Subjects perceived the autonomous vehicles with the described behavioral …

… behavior within driving simulators is described in this paper. This framework serves as a basis
for building human-like driving behavior models for autonomous vehicles … driving behavior …

… Connected autonomous vehicles (CAVs), an organic combination of connected vehicles
and autonomous vehicles, are equipped with advanced in-vehicle sensors, controllers, …

… flow and driving stress vary with autonomous vehicles by microscopic traffic simulation. We
… with autonomous vehicles and manually-driven vehicles. The behavior of these vehicles can …

… to autonomous vehicles and impact on movement behavior (ie, physical activity, sedentary
behavior, and sleep) or mode choice (eg, public transit), beliefs about movement behavior or …

… reactive components for autonomous vehicles. Creating reactive behaviors (stimulus-…
SAMUEL is a system that learns reactive behaviors for autonomous agents. SAMUEL learns …