Share Email Print

Proceedings Paper

Vector map geo-location using GPS tracks
Author(s): Yuanlu Bao; Hao Xu; Zhenan Liu
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Geographic Information Systems, especially accurate digital traffic maps, have been becoming widely used in the Intelligent Transportation Systems. The GPS data usually are more accurate than the pre-existing base map data. This paper introduces a new cartography procedure for making digital map from a start-up paper map, which has no geography data (longitude and latitude). Contrary to traditional map-making which is first a precise survey-cartography and follow-on digital controlled mapping, the new procedure is first extracting layer from a raster map and vectorization, follow-on geo-adjusting for pinpointing all nodes on the vector map. There are two key processes in the new digital map-making technique. First, the map layer extraction is controlled by output feedback for optimal recognition of road network. Second, a dynamic topological mapping is developed for geo-location and improving the accuracy of vector traffic map by utilizing some recorded GPS data as the controlled pinpoint samples. Different from those traditional geolocation methods such as affine mapping, and the rubber-streeting with manual point-by-point matching, the new adjusting is decomposed into a series of optimal topological sub-mapping on relative sub-map region. Based on pinpointing one sample point to its accuracy location, the sub-mapping adjusts all nodes within the sub-map region.

Paper Details

Date Published: 1 August 2007
PDF: 13 pages
Proc. SPIE 6751, Geoinformatics 2007: Cartographic Theory and Models, 675116 (1 August 2007); doi: 10.1117/12.759724
Show Author Affiliations
Yuanlu Bao, Univ. of Science and Technology of China (China)
Hao Xu, Univ. of Science and Technology of China (China)
Zhenan Liu, Univ. of Science and Technology of China (China)

Published in SPIE Proceedings Vol. 6751:
Geoinformatics 2007: Cartographic Theory and Models

© SPIE. Terms of Use
Back to Top