… drivers and adapting to their driving styles. Autonomous vehicles must also behave in safe
and … We integrate tools from social psychology into autonomous-vehicle decision making to …

… lack behavioral grounding… autonomous vehicles compared to manned vehicles caused by
rigorous safety regulations implemented on the autonomous vehicle, (2) autonomous vehicles …

… behavior of autonomous vehicles has a significant impact on safety for all traffic participants.
Unlike current traffic participants, autonomous vehicles in … , successful autonomous vehicles …

… become more complex, understanding how they will behave in … The software controlling
autonomous vehicles comprises many … autonomy behaviors which limit its application to …

… While our concept is able to handle data from many preprocessing methods used in
autonomous vehicles, we tested the approach with the traffic simulation SUMO [30]. A schematic …

… With current technologies an autonomous vehicles will not be able of such cognition abilities
(note it is not only a matter of perception). Hence, as a mitigation strategies, an automated …

… It is clear that any technique for the realization of behavioral autonomy has to address
adaptive behavior and control composition, and a number of approaches have been reviewed …

… task for autonomous vehicles, especially on urban roadways. Prediction of surrounding
vehicles’ driving behaviors plays a crucial role in autonomous vehicles. Most traditional driving …

… Notably, for heavy traffic periods, the adaptive model runtime behavior is similar to YOLOv3
[4]. Recall that for a high number of located objects our model performs chained detection …

… -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. …