Survey of intelligent vehicles development and its key supporting technologies

LI Shun-ming; SHEN Huan; MAO Jian-guo; XIN Jiang-hui; MIAO Xiao-dong

doi:10.13873/j.1000-97872009.01.001

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Survey of intelligent vehicles development and its key supporting technologies

更新时间：2025-09-11

- Survey of intelligent vehicles development and its key supporting technologies
- Vol. 28, Issue 1, Pages: 1-3+9(2009)
- 作者机构：
  
  南京航空航天大学能源与动力学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872009.01.001
  CLC： U463.6
- Published：2009
- 稿件说明：
移动端阅览
[1]李舜酩,沈峘,毛建国,辛江慧,缪小东.智能车辆发展及其关键技术研究现状[J].传感器与微系统,2009,28(01):1-3+9.

LI Shun-ming, SHEN Huan, MAO Jian-guo, et al. Survey of intelligent vehicles development and its key supporting technologies[J]. 2009, 28(1): 1-3+9.
[1]李舜酩,沈峘,毛建国,辛江慧,缪小东.智能车辆发展及其关键技术研究现状[J].传感器与微系统,2009,28(01):1-3+9. DOI： 10.13873/j.1000-97872009.01.001.

LI Shun-ming, SHEN Huan, MAO Jian-guo, et al. Survey of intelligent vehicles development and its key supporting technologies[J]. 2009, 28(1): 1-3+9. DOI： 10.13873/j.1000-97872009.01.001.

摘要

智能车辆作为智能交通系统的重要组成部分

能够提高驾驶安全性

大幅改善公路交通效率

降低能源消耗量

该技术的研究日益受到国内外学者的关注。给出了智能车辆研究的主要内容和该领域当前的研究概况;讨论了该技术涉及的关键技术

分析了各项技术存在的优缺点

并指出了在今后进一步研究中值得关注的5项问题。

Abstract

Intelligent vehicle（IV）is an important constituent of future intelligent transportation systems.IV systems can offer the potential to significantly enhance safety and operational efficiency.The field of IV is rapidly growing worldwide.The major content of IV study and the current research status are given.Some key supporting technologies are discussed

and an analysis is made on these technologies between the advantages and disadvantages.5 key issues which remain open in this field are poined out.

关键词

Keywords

references

基于传感器信息的智能移动机器人导航评述 [J]. 辛江慧,李舜酩,廖庆斌. 传感器与微系统 . 2008(04)

单目视觉车道线识别算法及其ARM实现 [J]. 沈峘,毛建国,李舜酩. 南京航空航天大学学报 . 2008(02)

中国智能交通系统发展战略研究 [J]. 王笑京,沈鸿飞,汪林. 交通运输系统工程与信息 . 2006(04)

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