文献类型：期刊文献

中文题名：人工智能技术在智能驾驶控制中的应用

英文题名：Application of Artificial Intelligence in Intelligent Driving Control

作者：潘峰[1];潘振华[2];熊亮[1];潘卫国[1]

第一作者：潘峰

机构：[1]北京联合大学机器人学院,北京100101;[2]北京理工大学自动化学院,北京100081

第一机构：北京联合大学机器人学院

年份：2022

卷号：36

期号：3

起止页码：30-37

中文期刊名：北京联合大学学报

外文期刊名：Journal of Beijing Union University

语种：中文

中文关键词：人工智能;智能驾驶;机器学习

外文关键词：Artificial intelligence;Intelligent driving;Machine learning

摘要：过去十年,人工智能领域的进步推动了智能驾驶技术的快速发展。其中,机器学习、深度学习及强化学习等方法在智能驾驶控制中的应用,有效提高了智能驾驶的安全性和舒适性。为了研究人工智能在智能驾驶控制中的应用,首先分析智能驾驶系统架构及传统的智能驾驶横纵向控制的研究现状;随后重点论述人工智能方法在智能驾驶控制领域研究的现状,讨论学习型控制器、端到端智能驾驶控制和深度强化学习等人工智能方法的研究及应用情况;最后提出人工智能方法在智能驾驶控制领域研究和应用中遇到的挑战。研究成果有助于相关研究人员深入了解人工智能方法在智能驾驶控制方面的优势和局限性,在应用中也可为智能驾驶控制系统的设计提供参考。
In the past decade,advances in the field of artificial intelligence(AI)have greatly promoted the development of intelligent driving.Among them,the application of machine learning,deep learning,reinforcement learning and other methods in intelligent driving control has effectively improved the safety and comfort of autonomous vehicles.In order to study the application of AI in intelligent driving control,firstly,this paper introduces the architecture of intelligent driving framework and the research status of traditional methods of driving control.Then,it focuses on the research status of AI methods in the field of intelligent driving control,and discusses the research and application of AI methods such as learning controllers,end-to-end intelligent driving control and reinforcement learning.Finally,the challenges of AI methods in the research and application of intelligent driving control are put forward.This research results will help relevant researchers deeply understand the advantages and limitations of AI in intelligent driving control,and can also provide reference for the design of intelligent driving control systems in application.