智能汽车技术发展趋势

被引:35
作者
陈慧
徐建波
机构
[1] 同济大学汽车学院
关键词
智能汽车; 自动驾驶; 发展现状; 关键技术; 趋势;
D O I
暂无
中图分类号
U463.6 [电气设备及附件];
学科分类号
摘要
机电信息系统的高性能化发展使智能汽车成为可能。智能汽车可以通过感知驾驶环境(人-车-路)并提供信息和车辆控制,帮助或替代驾驶员进行最安全、最高效、最舒适的车辆操控。本文从交通安全、节能减排、城市/交通规划这几个角度入手,分析了当前智能汽车技术对汽车产业乃至整个社会的影响,对自动驾驶汽车技术的发展现状进行了综述。基于以上分析对智能汽车技术的发展趋势和前景进行了讨论。
引用
收藏
页码:64 / 70
页数:7
相关论文
共 10 条
  • [1] "PROUD Car Test 2013". Alberto Broggi. . 2013
  • [2] City Mobil2:Challenges and Opportunities of Fully Automated Mobility. Meyer,G.et al. Road Vehicle Automation . 2014
  • [3] Smart Cars:a practical implementation of M2M communications is becoming a reality ever closer. Alberto Bielsa. http://www.libelium.com/smart_cars_m2m_accident_prevention .
  • [4] National Highway Traffic Safety Administration. U.S. Department of Transportation Releases Policy on Automated Vehicle Development. Journal of Women s Health . 2013
  • [5] How Google’’s Self-Driving Car Works. Erico Guizzo. http://spectrum.ieee.org/automaton/robotics/artificial-intelligence/how-google-self-driving-car-works .
  • [6] Analyst Note,Autofacts,Look Mom,No Hands. Pricewaterhouse Coopers LLP. http://emarketing.pwc.com/reaction/images/Autofacts AnalystNote US%28Feb2013%29 FINAL.pdf . 2013
  • [7] Responsibility for Crashes of Autonomous Vehicles:An Ethical Analysis. Hevelke,A,J Nida-Rümelin. Science and Engineering Ethics . 2014
  • [8] Bosch’’s Vision and Roadmap Toward Fully Autonomous Driving. Meyer,G.et al. Road Vehicle Automation . 2014
  • [9] The impact of driver inattention on near-crash/crash risk: An analysis using the100-Car Naturalistic Driving Study data. Klauer, S. G,Dingus, T. A,Neale, V. L,Sudweeks, J. D,Ramsey, D. J. (Tech. Rep. No. DOT HS810594).National Highway Traffic Safety Administration . 2006
  • [10] Energy ITS: Another Application of Vehicular Communications. Sadayuki Tsugawa,Shin Kato. IEEE Communications Magazine . 2010