Dynamics-dependent behavioral planning for at least partially self-driving vehicles

Abstract

A method for training a behavior planner for an at least partially self-driving target vehicle on the basis of observation data regarding kinematics and/or dynamics that have been recorded during at least one test drive in a test vehicle includes identifying a driving maneuver that moves the test vehicle from an initial state to an end state using the observation data, ascertaining the maneuver end time, retrieving a maneuver duration required by the target vehicle to perform the identified driving maneuver from a dynamics model of the target vehicle, labeling observation data from a time interval, defined by the maneuver duration, with the identified driving maneuver, and training the behavior planner, using the labeled observation data, to map observation data that indicate a state of the target vehicle to at least one driving maneuver to be performed.