对汽车智能化进程及其关键技术的思考

doi:10.3981/j.issn.1000-7857.2017.11.007

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摘要随着控制、感知、通信和执行器技术的飞速发展，以电动化、自动化及网联化为基础的智能汽车成为汽车行业发展一大趋势，而汽车智能化所带来的技术挑战性问题也成为人们关注的热点。从汽车自动化、智能化的发展进程来看，汽车智能化可分为驾驶辅助、半自动化、高度自动化和完全自动化4个阶段。本文对当前汽车智能化研究中以车企和IT行业所主导的2条技术路线进行介绍，深入分析了汽车智能化在各个发展阶段的特征和含义，并概括了汽车智能化所面临的多源信息融合感知、智能汽车控制架构协调决策控制、人机交互与拟人共驾等挑战性问题。最后，对中国汽车企业智能化发展提出建议。

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	陈虹
	郭露露
	边宁

关键词 ：智能汽车, 智能化发展路线, 汽车网联化, 关键技术

Abstract：With the rapid development of control,perception,communication and actuator technology,the intelligent vehicle based on electrification,automation and networking has become a major trend in the automotive industry.At the same time,the challenges posed by the intelligent vehicle have raised great interest.From the perspective of automotive automation and intelligent development process,automobile intelligentization can be divided into four stages including driver-assist,semi-automatic,highly automated and fully automated.This paper introduces two technical routes of the present automotive intelligence research which are dominated by automobile enterprises and research institutes.Also given are deep analysis of the characteristics and meanings for each aforementioned development stage of automobile intelligentization.The challenging problems of automobile intelligentization such as multi-source information fusion,intelligent car control architecture,interactive driving are summarized.Finally,some suggestions on the intelligent development of Chinese automobile enterprises are given.

Key words： intelligent vehicles intelligent developing route vehicle networking key technologies

收稿日期: 2017-05-05

基金资助:国际（地区）合作与交流项目（61520106008）；国家自然科学基金优秀青年科学基金项目（61522307）

作者简介: 陈虹,教授,研究方向为预测控制、非线性优化控制和汽车控制,电子信箱:chenh@jlu.edu.cn

引用本文:

陈虹, 郭露露, 边宁. 对汽车智能化进程及其关键技术的思考[J]. 科技导报, 2017, 35(11): 52-59.
CHEN Hong, GUO Lulu, BIAN Ning. On automobile intelligentization and key technologies. Science & Technology Review, 2017, 35(11): 52-59.

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http://www.kjdb.org/CN/10.3981/j.issn.1000-7857.2017.11.007 或 http://www.kjdb.org/CN/Y2017/V35/I11/52

[1] 前瞻产业研究院. 2015-2020年中国成品油行业市场调研与投资预测分析报告[R/OL]. (2015-09-21)[2017-06-03]. http://bg.qianzhan.com/report/de-tail/abf69b02d8384285.html. Foresight Industry Research Institute. Market Research and investment forecast analysis of China's refined oil industry in 2015-2020 years[R/OL]. (2015-09-21)[2017-06-03]. http://bg.qianzhan.com/report/detail/abf69b02d8384285.html.
[2] Los Angeles Tops INRIX Global C ongestion Ranking[R].America:INRIX, 2017.
[3] National Highway Traffic Safety Administration. 2015 motor vehicle crashes:Overview[J]. Traffic Safety Facts Research Note, 2016(2016):1-9.
[4] Sakhapov R, Nikolaeva R. Economic aspects of traffic safety administration[J]. Transportation Research Procedia, 2017, 20:578-583.
[5] Kockelman K, Avery P, Bansal P, et al. Implications of connected and automated vehicles on the safety and operations of roadway networks:A Final Re-port[R/OL]. (2016-09-02)[2017-06-03].https://trid.trb.org/view.aspx?id=1428776.
[6] 黎宇科, 刘宇. 国外智能网联汽车发展现状及启示[J]. 汽车工业研究, 2016(10):30-36. Li Yuke, Liu Yu. Current situation and Enlightenment of foreign automobile intelligent network abroad of China[J]. Auto Industry Research, 2016(10):30-36.
[7] 黎宇科, 刘宇. 国内智能网联汽车发展现状及建议[J]. 汽车与配件, 2016(41):56-59. Li Yuke, Liu Yu. Present situation and development suggestions of intelligent network of automobile in China[J]. Automobile & Parts, 2016(41):56-59.
[8] 中国报道网. 2017-2022年中国汽车电子行业市场发展现状及十三五发展态势预测报告[R/OL]. (2017-03-31)[2017-06-03]. http://baogao.china-baogao.com/qiche/278221278221.html. China Report. Forecast 2017-2022 Chinese automotive electronics industry market development present situation and development trend of 13th FiveYear[R/OL]. (2017-03-31)[2017-06-03]. http://baogao.chinabaogao.com/qiche/278221278221.html.
[9] 冯其予.《中国制造2025》重点领域技术路线图出炉[R/OL]. (2015-09-30)[2017-06-03]. http://www.gov.cn/xinwen/2015-09/30/content_2940898.htm. Feng Qiyu. "China made 2025" key areas of technology roadmap released[R/OL]. (2015-09-30)[2017-06-03]. http://www.gov.cn/xinwen/2015-09/30/content_2940898.htm.
[10] 苏静, 王冬, 张菲菲. 车联网技术应用综述[J]. 物联网技术, 2014, 4(6):69-72. Sujing, Wangdong, Zhang Feifei. Overview of application of vehicle connected technology[J]. Internet of Things Technologies, 2014, 4(6):69-72.
[11] 李克强.汽车智能化、网联化的发展及展望[J]. 汽车与社会, 2016, 8:32-51. Li Keqiang. Development and prospect of intelligent and connected of vehicle. Aoto and Society, 2016, 8:32-51.
[12] 武文科. 车联网技术发展与应用综述[J]. 汽车实用技术, 2017(3):88-91. Wu Wenke. Overview of development and application of vehicle connected technology[J]. Aotomobile Applied Technology, 2017(3):88-91.
[13] 李克强, 戴一凡, 李升波, 等. 智能网联汽车(ICV)技术的发展现状及趋势[J]. 汽车安全与节能学报, 2017, 8(1):1-14. Li Keqiang, Dai Yifan, Li Shengbo, et al. Intelligent Connected Vehicle(ICV) technology development status and trends[J]. Journal of Automotive Safety and Engergy, 2017, 8(1):1-14.
[14] 360智能网联汽车信息安全实验室. 2016年智能网联汽车信息安全报告[R/OL]. (2017-04-17)[2017-06-03]. http://zt.360.cn/1101061855.php?dtid=1101062370&did=490400056. 360 Intelligent Connected Vehicle Information Security Lab. IC Vehicle Cybersecurity Report In 2016[R/OL]. (2017-04-17)[2017-06-03]. http://zt.360.cn/1101061855.php?dtid=1101062370&did=490400056.
[15] 2014 Telematics Wire. UNECE paves the way for autonomous driving by updating UN international convention[EB/OL]. (2016-03-23)[2017-06-03]. http://telematicswire.net/unece-paves-the-way-for-autonomous-driving-by-updating-un-international-convention/.
[16] 王兆, 邓湘鸿, 刘地. 中国智能网联汽车标准体系研究[J]. 汽车电器, 2016(10):15-18. Wang Zhao, Deng Xianghong, Liu Di. Research on intelligent vehicle network standard system of China[J]. Automotive Electrical Appliances, 2016(10):15-18.