… for autonomous vehicles (AVs). To ensure driving safety, we proposed a lane change …
decision strategy with the minimum expected risk for autonomous driving. Firstly, a probabilistic-…

… in magnifying the capabilities and benefits of vehicle automation. Through connectivity,
automated vehicles will be able to communicate with other vehicles (V2V) or infrastructures (V2I) […

… analytically, the available behavior options are explored, and the overall trajectory is optimized
numerically. For our practical application onboard an automated vehicle, it is sufficient to …

… automated vehicles in … lane changes as if they were single vehicles [30], [31]. Hence, the
proposed approach can be extended to platoons in addition to individual automated vehicles. …

… topic focused on heavy duty commercial vehicles, although the discussed algorithms are not
truck-specific. Behaviour planning for autonomous vehicles is complicated and versatile task…

… To overcome this limitation, we formulate the lane change behavior with continuous action
in a model-free dynamic driving environment based on Deep Deterministic Policy Gradient (…

… , the lane change. Secondly, the different automated vehicle trajectory planning methods are
… 1) Lane change Automated Lane Change maneuvers can be tackled in three steps [6]. The …

… Lane changing is one fundamental and crucial function expected to be embedded in either
an ADAS or a fully automated vehicle. The lane changing maneuver can be a demanding …

… autonomous vehicles … lane change and lane keeping maneuvers. We have developed a
collision avoidance condition for polygonshaped vehicles to ensure the safety of the ego vehicle…

… the automated vehicle is not expected to behave abnormally itself, following the principle
of trust, normal behavior of others can be assumed. Mispredictions within the range of normal …