On Universal Sensor Registration

  • Daniel Sigalov
  • , Aharon Gal
  • , Boaz Vigdor

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

3 Scopus citations

Abstract

We present a simple approach for sensor registration in target tracking applications. The proposed method uses targets of opportunity and, without making assumptions on their dynamical models, allows simultaneous calibration of multiple three- and two-dimensional sensors. Whereas for two-sensor scenarios only relative registration is possible, in practical cases with three or more sensors unambiguous absolute calibration may be achieved. The derived algorithms are straightforward to implement and do not require tuning of parameters. The performance of the algorithms is tested in a numerical study.

Original languageEnglish
Title of host publication2018 21st International Conference on Information Fusion, FUSION 2018
PublisherInstitute of Electrical and Electronics Engineers
Pages1472-1479
Number of pages8
ISBN (Print)9780996452762
DOIs
StatePublished - 5 Sep 2018
Externally publishedYes
Event21st International Conference on Information Fusion, FUSION 2018 - Cambridge, United Kingdom
Duration: 10 Jul 201813 Jul 2018

Publication series

Name2018 21st International Conference on Information Fusion, FUSION 2018

Conference

Conference21st International Conference on Information Fusion, FUSION 2018
Country/TerritoryUnited Kingdom
CityCambridge
Period10/07/1813/07/18

Keywords

  • Sensor registration
  • bias calibration
  • sensor misalignment

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Statistics, Probability and Uncertainty
  • Instrumentation

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