A new map-matching algorithm and real-time parameter correction for land vehicle navigation system

Lu Ding*, Jiabin Chen, Shaolin Lü, Lin Cai, Chunlei Song

*Corresponding author for this work

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

5 Citations (Scopus)

Abstract

In intelligent transport system, to assure that drivers have accurate navigation instructions and the vehicle is displayed correctly on the digital map, the precise position must be known. First, an intuitive and effective map-matching algorithm based on curve similarity is proposed. It fully utilizes the road network information and history route information to find out the best matching route. Second, when GPS signal is unavailable, the gyroscope and odometer scale factors of Dead Reckon (DR) system can also be calibrated with the matched routes on digital map. The experiment demonstrates that this map-matching algorithm can improve the accuracy of vehicle position. The real-time revision of scale factors decreases accumulative error and improves the navigation precision. Copyright ASCE 2007.

Original languageEnglish
Title of host publicationInternational Conference on Transportation Engineering 2007, ICTE 2007
Pages25-30
Number of pages6
DOIs
Publication statusPublished - 2007
EventInternational Conference on Transportation Engineering 2007, ICTE 2007 - Chengdu, China
Duration: 22 Jul 200724 Jul 2007

Publication series

NameInternational Conference on Transportation Engineering 2007, ICTE 2007

Conference

ConferenceInternational Conference on Transportation Engineering 2007, ICTE 2007
Country/TerritoryChina
CityChengdu
Period22/07/0724/07/07

Keywords

  • Curve similarity
  • Map-matching
  • Parameter correcting
  • Vehicle navigation system

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