2013
DOI: 10.1016/j.measurement.2012.08.001
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Experimental assessment of low-cost GPS-based localization in railway worksite-like scenarios

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Cited by 24 publications
(10 citation statements)
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“…While all the three projects we explored require positioning of people or vehicles, ALARP has severe requirements in terms of localization accuracy of workers. Low-cost GPS receivers are not sufficiently accurate to reliably identify if a worker is in a red or a green zone, as it was measured in [61]. A GPS-augmentation approach has been devised in ALARP, and it is presented and evaluated in [18].…”
Section: B Resilient Monitoringmentioning
confidence: 99%
“…While all the three projects we explored require positioning of people or vehicles, ALARP has severe requirements in terms of localization accuracy of workers. Low-cost GPS receivers are not sufficiently accurate to reliably identify if a worker is in a red or a green zone, as it was measured in [61]. A GPS-augmentation approach has been devised in ALARP, and it is presented and evaluated in [18].…”
Section: B Resilient Monitoringmentioning
confidence: 99%
“…We choose the same δ for each scenario to show how the same sensitivity is suitable in a scenario and needs of a different tuning in another, although a detailed sensitivity analysis of the parameters α, δ is outside of the scope of this paper and will be performed as future work. Due to the geographical dimension of the considered areas, localization uncertainty of the events, which may be up to several meters [29], is not significant for our analysis and consequently not considered in this work.…”
Section: A Scenariosmentioning
confidence: 99%
“…Therefore, the extensive use of permanent GPS stations (e. g. RING network, Rete Integrata Nazionale GPS, consists of about 150 stations [3]) and non-permanent GPS stations [4], routinely operating for geodetic purposes and, even offers a "non-geodetic" tool aimed at a dense and reliable remote sensing of atmospheric water vapour.…”
Section: Introductionmentioning
confidence: 99%