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Research on key technologies for urban unmanned intelligent vehicle

  • Jianfeng Wang*
  • , Chao Zhang
  • , Yuetian Shan
  • , Yunhe Xu
  • , Shu Wang
  • *Corresponding author for this work
  • Automotive Engineering College

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With the development of the intelligent transportation systems (ITS), and the widely used technologies of road testing, machine vision etc. in the field of intelligent vehicle, it is possible for the smart car to move automatically in well-structured environments. As for urban complex environments, the researches on unmanned intelligent vehicle are still at the initial stage. For the more complex urban environments, perception and control algorithms are made a higher demand. So the urban unmanned intelligent vehicles have become one of the hottest areas for future research and development. This article made a profound study on the key technologies of urban driverless intelligent vehicle including multi-sensor fusion of navigation systems, smart car body control systems, and the path planning decision, and also theoretically explained the possibility of the urban unmanned intelligent vehicle can be put into daily use.

Original languageEnglish
Title of host publicationProceedings - 2010 2nd WRI Global Congress on Intelligent Systems, GCIS 2010
Pages51-54
Number of pages4
DOIs
StatePublished - 2010
Externally publishedYes
Event2010 2nd WRI Global Congress on Intelligent Systems, GCIS 2010 - Wuhan, China
Duration: 16 Dec 201017 Dec 2010

Publication series

NameProceedings - 2010 2nd WRI Global Congress on Intelligent Systems, GCIS 2010
Volume3

Conference

Conference2010 2nd WRI Global Congress on Intelligent Systems, GCIS 2010
Country/TerritoryChina
CityWuhan
Period16/12/1017/12/10

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Information fusion
  • Path planning
  • Road-following
  • Urban unmanned intelligent vehicle

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