无人驾驶技术发展对策研究

杨艳明, 高增桂, 张子龙, 沈悦, 王林军

中国工程科学 ›› 2018, Vol. 20 ›› Issue (6) : 101-104.

PDF(302 KB)
PDF(302 KB)
中国工程科学 ›› 2018, Vol. 20 ›› Issue (6) : 101-104. DOI: 10.15302/J-SSCAE-2018.06.016
专题研究

无人驾驶技术发展对策研究

作者信息 +

Research on Development Strategy of Unmanned Driving Technology

Author information +
History +

摘要

无人驾驶技术被认为是运载工程领域极具颠覆性的一项技术。本文通过专家访谈、对比分析和文献研究等方法,对无人驾驶技术的发展态势、发展阶段进行了分析,并从潜在价值和社会影响进行了评估;提出通过加强汽车线控技术、能源动力技术和驾驶认知技术研究推动无人驾驶技术发展的具体对策。

Abstract

Unmanned driving technology is considered as a highly disruptive technology in the field of vehicle engineering. By means of expert interviews, comparative analysis and literature research, this paper analyses the development trend and stage of unmanned driving technology, and evaluates its potential values and social impacts. It also proposes to promote the development of unmanned driving technology by strengthening the research on automobile wire control technology, energy power technology and driving cognitive technology.

关键词

颠覆性技术 / 无人驾驶技术 / 汽车线控技术 / 能源动力技术 / 驾驶认知技术

Keywords

disruptive technology / unmanned driving technology / automotive wire control technology / energy power technology / driving cognitive technology

引用本文

导出引用
杨艳明, 高增桂, 张子龙. 无人驾驶技术发展对策研究. 中国工程科学. 2018, 20(6): 101-104 https://doi.org/10.15302/J-SSCAE-2018.06.016

参考文献

[1]
李德毅. 我眼中的未来汽车 [J]. 重庆与世界, 2018 (8): 35–36. Li D Y. Future car in my eyes [J]. The World & Chongqing, 2018 (8): 35–36.
[2]
Gsul M, 胡予红, 周旋, 等. 道路交通运输安全发展报告(2017) [J]. 中国应急管理, 2018 (2): 48–58. Gsul M, Hu Y H, Zhou X, et al. Road traffic safety development report (2017) [J]. China Emergency Management, 2018 (2): 48– 58.
[3]
叶秀敏. 6因素驱动智能汽车产业起航 [J].中国信息界, 2017 (3): 88–91. Ye X M. Six factors drive the smart car industry to set sail [J]. Information China, 2017 (3): 88–91.
[4]
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 H, Guo L L, Bian N. On automobile intelligentization and key technologies [J]. Science & Technology Review, 2017, 35(11): 52–59.
[5]
唐怀坤. 浅析无人驾驶演进的三个阶段 [J].通信世界, 2018 (21): 30–32. Tang H K. An analysis of the three stages of the evolution of unmanned drivers [J]. Communications World, 2018 (21): 30–32.
[6]
晏欣炜, 朱政泽, 周奎, 等. 人工智能在汽车自动驾驶系统中的 应用分析 [J]. 湖北汽车工业学院学报, 2018, 32(1): 40–46. Yan X W, Zhu Z Z, Zhou K, et al. Application and analysis of artificial intelligence in vehicle intelligent driving system [J]. Journal of Hubei University of Automotive Technology, 2018, 32(1): 40–46.
[7]
王芳, 陈超, 黄见曦. 无人驾驶汽车研究综述 [J]. 中国水运月刊, 2016, 16(12): 126–128. Wang F, Chen C, Huang J X. Review of driverless vehicles [J]. China Waterway Monthly, 2016, 16(12): 126–128.
[8]
班智飞, 黄波. 无人驾驶: 在腾飞的前夜[J]. 中关村, 2018 (1): 60–63. Ban Z F, Huang B. Driverless: On the eve of takeoff [J]. Zhongguancun, 2018 (1): 60–63.
[9]
周路菡. 人工智能下一站: 无人驾驶汽车 [J]. 新经济导刊, 2017 (z1): 89–93. Zhou L H. Next stop of AI: Driverless vehicle [J]. New Economy Weekly, 2017 (z1): 89–93.
[10]
崔丽媛. 汽车行业的下一风口: 智能驾驶 [J]. 交通建设与管理, 2016 (12): 2. Cui L Y. Next wind outlet of automobile industry: Intelligent driving [J]. Transport Construction & Management, 2016 (12): 2.
[11]
李德毅, 赵菲, 刘萌, 等. 自动驾驶量产的难点分析及展望 [J]. 武 汉大学学报(信息科学版), 2018, 43(12): 1–5. Li D Y, Zhao F, Liu M, et al. Difficulty analysis and prospect of autonomous vehicle mass production [J]. Journal of Wuhan University (Information Science Edition), 2018, 43(12): 1–5.
基金
中国工程院咨询项目“工程科技颠覆性技术战略研究”(2017-ZD-10)
PDF(302 KB)

Accesses

Citation

Detail

段落导航
相关文章

/