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案例频道作者：杨明珠（大连交通大学， 辽宁 大连 116021）
摘要：人工智能和自动驾驶的发展如火如荼，人工智能技术在自动驾驶技术中的应用也越来越多、越来越深入，因此本文提出一种基于深度强化学习的单目视觉自动驾驶决策系统，可以让自动驾驶车辆通过相机作为传感器输入，实现端到端的自动驾驶决策，并且通过设置奖励函数和训练使得车辆的学习效率越来越高，可以在车道内保持直线行驶。
关键词：深度强化学习；自动驾驶；决策；单目视觉
Abstract: The development of artificial intelligence and autonomous driving is in full swing, and the application of artificial intelligence technology in autonomous driving technology is more and more indepth,so this paper proposes a monocular driving auto-driving decision system based on deep reinforcement learning, which can let the selfdriving vehicle use the camera as a sensor input to achieve end-to-end autonomous driving decisions, and set the reward function and training to make the vehicle's learning efficiency more and more efficient, and it can keep driving straight in the lane.
Key words: Deep reinforcement learning; Autonomous driving; Decision making; Monocular vision
摘自《自动化博览》2020年5月刊
北京市公安局海淀分局备案号：11010802023656号