Detecting Road Intersections from GPS Traces

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6292)


As an alternative to expensive road surveys, we are working toward a method to infer the road network from GPS data logged from regular vehicles. One of the most important components of this problem is to find road intersections. We introduce an intersection detector that uses a localized shape descriptor to represent the distribution of GPS traces around a point. A classifier is trained on the shape descriptor to discriminate intersections from non-intersections, and we demonstrate its effectiveness with an ROC curve. In a second step, we use the GPS data to prune the detected intersections and connect them with geometrically accurate road segments. In the final step, we use the iterative closest point algorithm to more accurately localize the position of each intersection. We train and test our method on GPS data gathered from regular vehicles in the Seattle, WA, USA area. The tests show we can correctly find road intersections.


GPS road map road network intersection detection 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Haklay, M., Weber, P.: OpenStreetMap: User-Generated Street Maps. In: IEEE Pervasive Computing, pp. 12–18 (2008)Google Scholar
  2. 2.
    Tavakoli, M., Rosenfeld, A.: Building and Road Extraction from Aerial Photographs. IEEE Transactions on Systems, Man, and Cybernetics SMC-12(1), 84–91 (1982)Google Scholar
  3. 3.
    Hu, J., et al.: Road Network Extraction and Intersection Detection From Aerial Images by Tracking Road Footprints. IEEE Transactions on Geoscience and Remote Sensing 45(12), 4144–4157 (2007)CrossRefGoogle Scholar
  4. 4.
    Barsia, A., Heipkeb, C.: Artificial Neural Networks for the Detection of Road Junctions in Aerial Images. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Munich, Germany, pp. 113–118 (2003)Google Scholar
  5. 5.
    Rogers, S., Langley, P., Wilson, C.: Mining GPS Data to Augment Road Models. In: International Conference on Knowledge Discovery and Data Mining, pp. 104–113 (1999)Google Scholar
  6. 6.
    Guo, T., Iwamura, K., Koga, M.: Towards High Accuracy Road Maps Generation from Massive GPS Traces Data. In: IEEE International Geoscience and Remote Sensing Symposium, pp. 667–670 (2007)Google Scholar
  7. 7.
    Bruntrup, R., et al.: Incremental Map Generation with GPS Traces. IEEE Intelligent Transportation Systems, 574–579 (2005)Google Scholar
  8. 8.
    Worrall, S., Nebot, E.: Automated Process for Generating Digitised Maps through GPS Data Compression. In: Australasian Conference on Robotics and Automation, Brisbane, Australia (2007)Google Scholar
  9. 9.
    Schroedl, S., et al.: Mining GPS Traces for Map Refinement. Data Mining and Knowledge Discovery 9(1), 59–87 (2004)CrossRefMathSciNetGoogle Scholar
  10. 10.
    Edelkamp, S., Schrödl, S.: Route Planning and Map Inference with Global Positioning Traces. In: Klein, R., Six, H.-W., Wegner, L. (eds.) Computer Science in Perspective. LNCS, vol. 2598, pp. 128–151. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  11. 11.
    Cao, L., Krumm, J.: From GPS Traces to a Routable Road Map. In: 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPAITLA GIS 2009), pp. 3–12. ACM, Seattle (2009)CrossRefGoogle Scholar
  12. 12.
    Viola, P., Jones, M.: Rapid Object Detection using a Boosted Cascade of Simple Features. In: Computer Vision and Pattern Recognition (CVPR 2001), p I-511– I-518 (2001)Google Scholar
  13. 13.
    Besl, P.J., McCay, N.D.: A Method for Registration of 3-D Shapes. IEEE Transactions on Pattern Analysis and Machine Intelligence 14(2), 239–256 (1992)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  1. 1.College of Computing GeorgiaInstitute of TechnologyAtlantaUSA
  2. 2.Microsoft ResearchMicrosoft Corporation RedmondWashingtonUSA

Personalised recommendations