1998
DOI: 10.1559/152304098782441778
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GPS and GIS: Enhanced Accuracy in Map Matching through Effective Filtering of Autonomous GPS Points

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Cited by 12 publications
(13 citation statements)
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“…If the length of the connected route through a network from the present position on one particular road segment to the next position on another potential road segment is outside the possible range of distance travelled so far, that potential road segment is rejected. Carstensen (1998) has looked at the effects of filtering autonomous GPS points by number of satellites tracked, Dilution of Position (DOP) values or satellite geometry, and velocity and acceleration of the vehicle between positions. Filtering of potential road segments may be achieved using some of these measures and other criteria such as distance travelled and change of heading between vehicle positions, both criteria are used here.…”
Section: Map-matching Methodologiesmentioning
confidence: 99%
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“…If the length of the connected route through a network from the present position on one particular road segment to the next position on another potential road segment is outside the possible range of distance travelled so far, that potential road segment is rejected. Carstensen (1998) has looked at the effects of filtering autonomous GPS points by number of satellites tracked, Dilution of Position (DOP) values or satellite geometry, and velocity and acceleration of the vehicle between positions. Filtering of potential road segments may be achieved using some of these measures and other criteria such as distance travelled and change of heading between vehicle positions, both criteria are used here.…”
Section: Map-matching Methodologiesmentioning
confidence: 99%
“…If the distance from the present position to a position on another potential road segment is greater than possible distance travelled, that road segment is rejected. Carstensen (1998) has looked at the effects of filtering autonomous GPS points by number of satellites tracked, DOP values or satellite geometry, and velocity and acceleration of the vehicle between positions. Carstensen (1998) found that`filters make different types of errors', and concludes that filter methods must be appropriate to the application at hand.…”
Section: Map-matching Methodologiesmentioning
confidence: 99%
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“…Location Based Services (LBS), personal navigation assistant, tourist information system, National Mayday System [2], and many other applications that provide a current location, a digital map and perhaps directions or route guidance. A great many of these systems could use the Global Positioning System (GPS) to determine the position of a telephone handset.…”
Section: Introductionmentioning
confidence: 99%
“…Often data can be combined from multiple sources integrating GPS with other navigational tools, attitude sensors such as the gyrocompass, vehicle odometer, flux gate compass and other dead reckoning methods [2] and [3]. This use of multiple data sources again helps to correct for the error (noise) on the GPS position output.…”
Section: Introductionmentioning
confidence: 99%