… By solving this MDP, optimal decisions for an autonomous car in a highway scenario (including
oncoming traffic) with multiple other cars are automatically derived. The actions allow the …

… Audi claims to be the first manufacturer to design a level 3 autonomous car on the highways.
However, the transition between manual and autonomous driving can increase the risk of …

… , eg lane change, while the motion planning layer yields the trajectory to complete this …
behavior planning [6]–[8] using RL, we set to achieve a policy that optimizes both behavior and …

… For the environment, we used the autonomous car A1 [36] of Hanyang University in Fig.
15. This vehicle was equipped with LIDARs, cameras, GPS, and a High Definition (HD) map. …

… In this paper four approaches are highlighted that might help understanding black box
technical systems for autonomous cars by focusing on its behaviour instead. The method of …

… An autonomous car on the road has to plan its future behavior and motion continuously to
… To plan the proper motion of an autonomous car, a local route that the car should follow to …

… Nonzero sum games are closer to the reality of autonomous cars and model any desired
degree of conflict among players. Since the players do not necessarily oppose each other, it is …

… is one of the extremely fundamental processes within autonomous driving. There are still
challenges to make path planning safer and robust, such as behavior modelling on other cars, …

… planning system for autonomous cars that generates appropriate motions and responses to
the behavior of other cars and the road structure on the basis of finite term prediction and car …

… Sastry, SA Seshia, and AD Dragan, “Planning for autonomous cars that leverage effects
on human actions.” in Robotics: Science and Systems, vol. 2. Ann Arbor, MI, USA, 2016. …