The tale of (fusing) two uncertainties

Bing Zhang, Goce Trajcevski

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

2 Scopus citations

Abstract

This work addresses the problem of fusing spatio-temporal uncertainties obtained from heterogeneous location sources: on-board GPS devices and roadside sensors. We develop a model for combining the uncertain location-values from the different sources, which further narrows the possible loca-tions of a given object. Our experiments demonstrate that the proposed model may eliminate significant amount of the false positives, compared to the traditional space-time prism (bead) uncertainty models.

Original languageEnglish (US)
Title of host publication22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2014
EditorsMarkus Schneider, Michael Gertz, Yan Huang, Jagan Sankaranarayanan, John Krumm
PublisherAssociation for Computing Machinery
Pages521-524
Number of pages4
ISBN (Electronic)9781450331319
DOIs
StatePublished - Nov 4 2014
Event22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2014 - Dallas, United States
Duration: Nov 4 2014Nov 7 2014

Publication series

NameGIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems
Volume04-07-November-2014

Other

Other22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2014
CountryUnited States
CityDallas
Period11/4/1411/7/14

Keywords

  • Beads
  • Roadside Sensors
  • Uncertainty Fusion

ASJC Scopus subject areas

  • Earth-Surface Processes
  • Computer Science Applications
  • Modeling and Simulation
  • Computer Graphics and Computer-Aided Design
  • Information Systems

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