@inproceedings{53ef029daf6a4fa2bbcc48e1b5706c12,
title = "The tale of (fusing) two uncertainties",
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.",
keywords = "Beads, Roadside Sensors, Uncertainty Fusion",
author = "Bing Zhang and Goce Trajcevski",
year = "2014",
month = nov,
day = "4",
doi = "10.1145/2666310.2666495",
language = "English (US)",
series = "GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems",
publisher = "Association for Computing Machinery",
pages = "521--524",
editor = "Markus Schneider and Michael Gertz and Yan Huang and Jagan Sankaranarayanan and John Krumm",
booktitle = "22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2014",
note = "22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2014 ; Conference date: 04-11-2014 Through 07-11-2014",
}