The detection of relative driving areas,lane line detection,and speed estimation have become crucial compo-nents.Some detection methods only detect lane lines with rough bounding boxes,ignoring the shape of specific curved lanes.This paper introduces deep reinforcement learning into the lane detection model,using intelligent agent positioning point movement to achieve accurate lane detection and positioning.To improve the auxiliary driving system and improve the recognition of lane markings.Both the driver and the auto drive system can improve the driving experience.
关键词
强化学习/车道线数据检测/深度学习/智能体/奖励机制
Key words
deep learning/reinforcement learning/lane line data detection/intelligent agents/reward mechanisms
维普
万方数据