A major challenge in automated driving is to understand what the perception system detects
with its various sensors and map it to meaningful behavior. In situation interpretation one of
the tasks is to capture patterns in the motion of surrounding vehicles to estimate their future
behavior for safely master driving. One basic approach to estimate this future behavior is to
predict whether a vehicle is going to perform a lane change or not. Different methods exist to
predict lane change maneuvers. Here, the focus is on the domain of machine learning, such …