Graph-based distributed cooperative navigation

Vadim Indelman, Pini Gurfil, Ehud Rivlin, Hector Rotstein

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

Abstract

This paper addresses the problem of distributed cooperative navigation. A new graph-based method is developed for on-demand calculation of the required correlation terms, considering a general multi-robot measurement model. These correlation terms are necessary for the consistent EKF-based data fusion when several statistically-dependent sources of information are used. The measurement model relates between the navigation information transmitted by any number of robots and the actual readings taken by the available onboard sensors. The transmitted information is not necessarily of the current time instant, but may actually belong to some time instant from the past. Experiment results and a theoretical example of the developed method are presented considering a three-view measurement, formulated upon receiving three images of the same scene, captured by different robots at different a priori unknown time instances.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Robotics and Automation, ICRA 2011
Pages4786-4791
Number of pages6
DOIs
StatePublished - 2011
Event2011 IEEE International Conference on Robotics and Automation, ICRA 2011 - Shanghai, China
Duration: 9 May 201113 May 2011

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation

Conference

Conference2011 IEEE International Conference on Robotics and Automation, ICRA 2011
Country/TerritoryChina
CityShanghai
Period9/05/1113/05/11

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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