Decentralized collaborative localization with deep GPS coupling for UAVs

Siddharth Tanwar, Grace Xingxin Gao

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

Abstract

GPS navigation in urban environments is prone to error sources such as multipath and signal blockage. However, if we consider several agents, it is highly likely that some agents have better localization capabilities due to different views of the sky, heterogeneity in sensors etc. Collaborative localization (CL) is a way to aid navigation in a multi-agent system. CL algorithms face challenges such as scalability, robustness to noisy sensor data and single point of failure, and operability despite limited inter-agent communication. In this paper, we present a decentralized collaborative localization algorithm which is asynchronous, applicable to sparsely communicating networks, and has minimal information exchange. Moreover, the proposed algorithm takes advantage of the variable visibility of the sky for different agents. We propose a methodology for relaying satellite information between agents to augment the set of visible satellites on each agent with virtual satellites, thereby providing more constraint equations to each agent. The methodology is based on coupling of agents' GPS measurements with range-only sensors and is applicable to multi-agent systems with these modalities. The proposed method is validated on real world dataset involving an aerial vehicle, ground agents, and several range-only sensors.

Original languageEnglish (US)
Title of host publication2018 IEEE/ION Position, Location and Navigation Symposium, PLANS 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages767-774
Number of pages8
ISBN (Electronic)9781538616475
DOIs
StatePublished - Jun 5 2018
Event2018 IEEE/ION Position, Location and Navigation Symposium, PLANS 2018 - Monterey, United States
Duration: Apr 23 2018Apr 26 2018

Publication series

Name2018 IEEE/ION Position, Location and Navigation Symposium, PLANS 2018 - Proceedings

Other

Other2018 IEEE/ION Position, Location and Navigation Symposium, PLANS 2018
CountryUnited States
CityMonterey
Period4/23/184/26/18

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Control and Optimization

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