A vehicle autonomous positioning technology based on terrain relative navigation

Jiabin Chen, Qin Zhang, Jingrun Pan, Junyu Liang

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

1 Citation (Scopus)

Abstract

Considering the characteristics of satellite navigation signals that are vulnerable to occlusion, interference and deception, and the situation that satellite navigation signals cannot be received in complex environments, this paper proposes a vehicle autonomous positioning method based on terrain relative navigation. This method matches the terrain data collected by the vehicle during driving with the pre-established topographic map, so as to estimate the position of the vehicle in the topographic map and realize the positioning of the vehicle on the structured road. The positioning process does not rely on GNSS, and is less affected by other factors due to the main use of road terrain information. This paper uses the constructed topographic map and sampling data to realize the vehicle positioning on the road, and the positioning error is less than 1 meter.

Original languageEnglish
Title of host publicationProceeding - 2021 China Automation Congress, CAC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6737-6740
Number of pages4
ISBN (Electronic)9781665426473
DOIs
Publication statusPublished - 2021
Event2021 China Automation Congress, CAC 2021 - Beijing, China
Duration: 22 Oct 202124 Oct 2021

Publication series

NameProceeding - 2021 China Automation Congress, CAC 2021

Conference

Conference2021 China Automation Congress, CAC 2021
Country/TerritoryChina
CityBeijing
Period22/10/2124/10/21

Keywords

  • Particle filter
  • Terrain relative navigation
  • Topographic map

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