In one embodiment, a system determines a target lane for an autonomous driving vehicle (ADV) to change lanes from a current lane to the target lane. The system determines obstacles information for one or more obstacles surrounding the ADV from sensor data. The system determines vehicle information of the ADV including a speed of the ADV. The system applies a reinforcement learning (RL) model to the obstacles and vehicle information of the ADV to generate an action for the ADV, where the action includes an acceleration/deceleration value and a steering angle value. The system controls the ADV to perform the lane change from the current lane to the target lane by executing the action.
REINFORCEMENT LEARNING FOR AUTONOMOUS LANE CHANGE
2024-05-16
Patent
Electronic Resource
English
META REINFORCEMENT LEARNING-BASED LANE CHANGE STRATEGY FOR AUTONOMOUS VEHICLES
British Library Conference Proceedings | 2021
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