Skip to main content

Fast Classification of Accessible Terrain with a 3D Laser Range Finder

  • Conference paper
  • First Online:
  • 4513 Accesses

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 302))

Abstract

Identification of drivable paths is the ability for navigation in rural environments with minimal infrastructure.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   349.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   449.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. C. Rasmussen. Combining laser range, color, and texture cues for autonomous road following. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), volume 4, pages 4320–4325, 2002.

    Google Scholar 

  2. Yinghua He, Hong Wang, and Bo Zhang. Color-based road detection in urban traffic scenes. IEEE Transactions on Intelligent Transportation Systems, 5(4):309–318, 2004.

    Google Scholar 

  3. Ying Guo, V. Gerasimov, and G. Poulton. Vision-based drivable surface detection in autonomous ground vehicles. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2006.

    Google Scholar 

  4. M. Manz, F. von Hundelshausen, and H.-J. Wünsche. A hybrid estimation approach for autonomous dirt road following using multiple clothoid segments. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pages 2410–2415, 2010.

    Google Scholar 

  5. S. Thrun, M. Montemerlo, H. Dahlkamp, D. Stavens, A. Aron, J. Diebel, P. Fong, J. Gale, M. Halpenny, G. Hoffmann, K. Lau, C. Oakley, M. Palatucci, V. Pratt, and P. Stang. Stanley: The robot that won the DARPA grand challenge. Journal of Field Robotics, 23(9):661–692, 2005.

    Google Scholar 

  6. J. Poppinga, A. Birk, and P. Kaustubh. Hough based terrain classification for realtime detection of drivable ground. Journal of Field Robotics, 25:67–88, January 2008.

    Google Scholar 

  7. Simon Clode, Peter J Kootsookos, and Franz Rottensteiner. The automatic extraction of roads from LIDAR data. In International Society for Photogrammetry and Remote Sensing (ISPRS), 2004.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Timo Röhling .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Röhling, T. (2016). Fast Classification of Accessible Terrain with a 3D Laser Range Finder. In: Menegatti, E., Michael, N., Berns, K., Yamaguchi, H. (eds) Intelligent Autonomous Systems 13. Advances in Intelligent Systems and Computing, vol 302. Springer, Cham. https://doi.org/10.1007/978-3-319-08338-4_36

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-08338-4_36

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08337-7

  • Online ISBN: 978-3-319-08338-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics