Decentralized collaborative localization using 3D mapping aided (3DMA) GPS

Siddharth Tanwar, Grace Xingxin Gao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

• Proposed a decentralized collaborative localization algorithm for urban GPS navigation to mitigate ambiguity in 3DMA navigation approaches • Improved positioning accuracy for all agents • Analyzed the impact of connectivity, number of agents, and geometry for large networks

Original languageEnglish (US)
Title of host publicationProceedings of the 31st International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2018
PublisherInstitute of Navigation
ISBN (Electronic)0936406100, 9780936406107
StatePublished - Jan 1 2018
Event31st International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2018 - Miami, United States
Duration: Sep 24 2018Sep 28 2018

Publication series

NameProceedings of the 31st International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2018

Conference

Conference31st International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2018
CountryUnited States
CityMiami
Period9/24/189/28/18

ASJC Scopus subject areas

  • Computer Science Applications
  • Software
  • Electrical and Electronic Engineering

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  • Cite this

    Tanwar, S., & Gao, G. X. (2018). Decentralized collaborative localization using 3D mapping aided (3DMA) GPS. In Proceedings of the 31st International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2018 (Proceedings of the 31st International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2018). Institute of Navigation.