… autonomous car starts behind the human, as depicted in Fig. 2. The tactical autonomous car
… The hierarchical autonomous car overtakes and merges in front of the human. 2) Overtaking…

… problem in the context of autonomous cars, relies onto the com… In the sequel, we define a
bi-steerable car as a car such that … steering and motion planning problems for such a vehicle. …

… algorithms, one of them is related to the path planning. Knowing the actual position (Initi x,y)
and the required position (End x,y), the tested path planning finds the next position (init i+1 x,…

… subfunctions within the existing behavior planning system, but also … planning algorithm
based on hierarchical reinforcement learning (HRL) which can accomplish behavior planning in …

… ’ perspectives can serve as ground-truth estimations for the AI algorithms to learn and further
guide the behavior planning for the automated cars during interactions with pedestrians. …

… Autonomous driving systems are becoming more real in our … An autonomous car has to
fulfill many tasks, working in a … [1] proposed it in 1968 to build a mobile robot that could plan its …

… In Scenario #2, the traffic signal’s timing plan was not changed but the autonomous cars
were made to travel slowly in order to avoid being caught in the ‘dilemma zone’ at the end of …

… cars published in the literature focusing on autonomous cars … , which are equipped with an
autonomy system that can be … planning, path planning, behavior selection, motion planning, …

… 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 …

… which will model both human-driven car and autonomous car activities. In the decision making
… action over the planning horizon using the ADM and HDM GPs. The planning horizon is …