Skip to main content

Flexible Path Planning Using Corridor Maps

  • Conference paper
Algorithms - ESA 2008 (ESA 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5193))

Included in the following conference series:

  • 1989 Accesses

Abstract

Path planning is a central problem in virtual environments and games. When computer-controlled characters move around in virtual worlds they have to plan their paths to desired locations. These paths must avoid collisions with the environment and with other moving characters. Also a chosen path must be natural, meaning that it is the kind of path a real human being could take. The algorithms for planning such paths must be able to handle hundreds of characters in real-time and must be flexible.

The Corridor Map Method (cmm) was recently introduced as a flexible path planning method in interactive virtual environments and games. The method is fast and flexible and the resulting paths are reasonable. However, the paths tend to take unnatural turns when characters get close to other characters or small obstacles. In this paper we will improve on the cmm by decoupling collision avoidance with the environment and local steering behavior. The result is a method that keeps the advantages of the cmm but has much more natural steering. Also the method allows for more flexibility in the desired routes of the characters.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Latombe, J.C.: Robot Motion Planning. Kluwer, Dordrecht (1991)

    Google Scholar 

  2. LaValle, S.: Planning Algorithms (2006), http://planning.cs.uiuc.edu

  3. Rimon, E., Koditschek, D.: Exact robot navigation using artificial potential fields. IEEE Transactions on Robotics and Automation 8, 501–518 (1992)

    Article  Google Scholar 

  4. DeLoura, M.: Game Programming Gems 1. Charles River Media, Inc. (2000)

    Google Scholar 

  5. Russell, S., Norvig, P.: Artificial Intelligence: A Modern Approach. Prentice-Hall, Englewood Cliffs (1994)

    Google Scholar 

  6. Geraerts, R., Overmars, M.: Creating high-quality paths for motion planning. International Journal of Robotics Research 26, 845–863 (2007)

    Article  Google Scholar 

  7. Geraerts, R., Overmars, M.: The corridor map method: A general framework for real-time high-quality path planning. Computer Animation and Virtual Worlds 18, 107–119 (2007)

    Article  Google Scholar 

  8. Geraerts, R., Overmars, M.: Enhancing corridor maps for real-time path planning in virtual environments. In: Computer Animation and Social Agents (2008)

    Google Scholar 

  9. Hoff, K., Culver, T., Keyser, J., Lin, M., Manocha, D.: Fast computation of generalized voronoi diagrams using graphics hardware. In: International Conference on Computer Graphics and Interactive Techniques, pp. 277–286 (1999)

    Google Scholar 

  10. Stucki, P.: Obstacles in pedestrian simulations. Master’s thesis, Swiss Federal Institute of Technology ETH (September 2003)

    Google Scholar 

  11. Transportation Research Board, National Research Council Washington, D.C: Highway Capacity Manual (2000)

    Google Scholar 

  12. Helbing, D., Molnár, P.: Social force model for pedestrian dynamics. Physical Review 51, 4282–4287 (1995)

    Google Scholar 

  13. Wein, R., Berg, J., Halperin, D.: The Visibility-Voronoi complex and its applications. In: Annual Symposium on Computational Geometry, pp. 63–72 (2005)

    Google Scholar 

  14. Ó’Dúnlaing, C., Sharir, M., Yap, C.: Retraction: A new approach to motion planning. In: ACM Symposium on Theory of Computing, pp. 207–220 (1983)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Dan Halperin Kurt Mehlhorn

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Overmars, M., Karamouzas, I., Geraerts, R. (2008). Flexible Path Planning Using Corridor Maps. In: Halperin, D., Mehlhorn, K. (eds) Algorithms - ESA 2008. ESA 2008. Lecture Notes in Computer Science, vol 5193. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87744-8_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-87744-8_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87743-1

  • Online ISBN: 978-3-540-87744-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics