A method for constructing 3D traveling routes from GPS navigation data
Document Type
Conference Proceeding
Publication Date
12-1-2012
Abstract
In this paper we present a novel algorithm for constructing 3D vector maps for off road navigation using GPS track recordings. The algorithm treats the GPS track recordings as a point cloud and performs track clustering by iteratively aggregating the point cloud. The aggregation is done by simulating attraction forces between samples forming groups of points that belong to the same trail. Next, it constructs clusters centers out of the groups and forms center-lines that connect the cluster centers to create a 3D graph representation. Graph enrichments such as junction clarification are also applied. We demonstrate the results of our algorithm on a simulated dataset of ten tracks for verification purposes and on a dataset of actual GPS tracks of mountain bike trails. An analysis of the geodetic accuracy of the algorithm solution is given using ground control points which were measured in the field. © 2012 ACM.
Identifier
84875161416 (Scopus)
ISBN
[9781450316958]
Publication Title
Proceedings of the ACM Sigspatial International Workshop on Geostreaming Iwgs 2012
External Full Text Location
https://doi.org/10.1145/2442968.2442980
First Page
91
Last Page
100
Recommended Citation
Goren-Bar, Tom and Greenfeld, Joshua, "A method for constructing 3D traveling routes from GPS navigation data" (2012). Faculty Publications. 17978.
https://digitalcommons.njit.edu/fac_pubs/17978
