… Planning safe motions for autonomous vehicles (AVs) in such interactive environments, …
of the ego’s intended motion plan on nearby agents’ behavior. Deep-learning-based models …

… , or behavior, operating asynchronously and in parallel with other behaviors, is responsible
for a particular aspect of vehicle … A behavior encapsulates the perception, planning and task …

… Behavior Planning of CAVs In this section, we apply the feedback RL to the behavior planning
problem of CAVs. We consider a scenario with autonomous vehicles running on a multi-…

… of autonomous vehicle software systems. Fundamental components of autonomous vehicle
software … When defensive driving behavior was tested in other vehicles, the performance was …

… motion planning tasks through offline driving behavior … decomposition to learn driving behavior
patterns from driving … DBP library by fusing driving data and vehicle model. Based on the …

… Our results showcase richer, safer, and more effective autonomous behavior in comparison
… planning formulation for an autonomous vehicle interacting with a human-driven vehicle on …

… To this moment it is not clear how autonomous vehicles will behave in case an … behavior
planning component integrates data coming from sensors in order to generate an execution plan…

… The system modeling of the behavior planning and control problem considered in this work.
We design a novel safe behavior planning and control framework with decentralized training …

… can adapt between altruistic, cooperative, and egoistic behavior. We study the influence of
the … assumption and the actual behavior, we can indeed successfully plan an optimal control …

… Autonomous vehicles have to navigate the surrounding … Sources of uncertainty in autonomous
vehicle measurements … First use case is behavior planning under limited sensor range …