Generating lane level road data from vehicle trajectories using Kernel Density Estimation

  title={Generating lane level road data from vehicle trajectories using Kernel Density Estimation},
  author={E. R. I. A. C. M. Uduwaragoda and A. S. Perera and S. A. D. Dias},
  journal={16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)},
An informative digital map is a prerequisite for future Intelligent Transportation System (ITS) applications such as lane level navigation systems. Preparing and updating such detailed digital maps by using existing methods such as surveying and image digitization is not practical due to the time and cost involved. We propose a method that statistically mines Global Positioning System (GPS) trajectory data obtained from vehicles to generate a lane level digital map of the road. The proposed… CONTINUE READING


Publications referenced by this paper.
Showing 1-10 of 21 references

Density Estimation for Statistics and Data Analysis, London:Chapman

  • B. W. Silverman
  • 1998
Highly Influential
7 Excerpts

NextMap: Investigating the Future of Digital Map Databases

  • J. C. Pandazis
  • 2002
Highly Influential
3 Excerpts

On the Positional Accuracy of the GoogleEarth Imagery

  • K. Beck, K. Ibrahim
  • Proc. FIG Working Week
  • 2011
1 Excerpt

Outlier Removal in Network Constrained Trajectories

  • C. Manel, A. S. Perera, S.A.D. Dias
  • Proc. ENTC Research Seminar, vol 3 (9…
  • 2011
1 Excerpt

Similar Papers

Loading similar papers…