Key technologies of GNSS/INS/VO deep integration for UGV navigation in urban canyon

Wang Meiling, Li Yafeng, Feng Guoqiang, Yang Yi, Liu Tong, Xuan Xiao

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

2 Citations (Scopus)

Abstract

As a new emerging integrated navigation technology, the GNSS/INS/VO deep integration system can fully leverage the synergistic and complementary characteristics of the three involved subsystems to achieve cost reduction while improving navigation accuracy, availability, and robustness, by mutual aiding between subsystems. In this paper, firstly, based on a brief review of the technical background and research status of the GNSS/INS/VO deep integration technology, the processing flows of this deep integration mode in both signal and information domains are analyzed, and its performance advantages are summarized. Then, the top-level technology roadmap of the GNSS/INS/VO deep integration for UGV navigation in the urban canyon is presented, and several key technical issues from scheme demonstration to engineering implementation are explored. At last, the short and medium term development prospects of the GNSS/INS/VO deep integration are envisaged. The proposed research ideas and system design concept for GNSS/INS/VO deep integration could be used as a reference for relevant technicians in navigation field.

Original languageEnglish
Title of host publication2017 Asian Control Conference, ASCC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2546-2551
Number of pages6
ISBN (Electronic)9781509015733
DOIs
Publication statusPublished - 7 Feb 2018
Event2017 11th Asian Control Conference, ASCC 2017 - Gold Coast, Australia
Duration: 17 Dec 201720 Dec 2017

Publication series

Name2017 Asian Control Conference, ASCC 2017
Volume2018-January

Conference

Conference2017 11th Asian Control Conference, ASCC 2017
Country/TerritoryAustralia
CityGold Coast
Period17/12/1720/12/17

Fingerprint

Dive into the research topics of 'Key technologies of GNSS/INS/VO deep integration for UGV navigation in urban canyon'. Together they form a unique fingerprint.

Cite this