… social psychology tools into controller design for autonomous vehicles. Our key insight …
predict driver behavior. We model interactions between human and autonomous agents with …

… 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 …

… to generate socially-compatible behaviors for autonomous vehicles. Our key insight is that
when behavior uncertainty exists, AVs should optimize for behaviors that consider not only self…

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

… 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 …

… This scoping review examines the literature as it relates to autonomous vehicles and impact
on movement behavior (ie, physical activity, sedentary behavior, and sleep) or mode choice (…

… be followed by the autonomous vehicle. The behavior planner anticipate the behavior of traffic
… planner to plane a safe and dynamic feasible trajectory to follow by driverless vehicle. The …

… autonomous and manually-driven vehicles … the behavioral and physical attributes of a vehicle
on pedestrians’ roadcrossing decisions, both for manually-driven and autonomous vehicles…

… behavior decision method trained with TD3 was proposed to select an optimal maneuver for
autonomous vehicles in … to the autonomous vehicle’s core module, behavioral decisions and …

… Similar to classical studies, we divide behavioral studies involving autonomous vehicles
into two groups of pedestrian and environmental factors. A summary of these factors and their …