Skip to main content

Online Reconstruction of Vehicles in a Car Park

  • Conference paper
Book cover Field and Service Robotics

Part of the book series: Springer Tracts in Advanced Robotics ((STAR,volume 25))

  • 2072 Accesses

Summary

In this paper, a method of obtaining vehicle hypothesis based on laser scan data only is proposed. This is implemented on the robotic vehicle, CyCab, for navigation and mapping of the static car park environment. Laser scanner data is used to obtain hypothesis on position and orientation of vehicles with Bayesian Programming. Using the hypothesized vehicle poses as landmarks, CyCab performs Simultaneous Localization And Mapping (SLAM). A final map consisting of the vehicle positions in the car park is obtained.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. C. Pradalier, J. Hermosillo, C. Koike, C. Braillon, P. Bessiere, and C. Laugier. An autonomous car-like robot navigating safely among pedestrians. In International Conference in Robotics and Automation, 2004.

    Google Scholar 

  2. O. Lebeltel. Programmation Bayienne des Robots. PhD thesis, Institut National Polytechnique de Grenoble, France, October 1999.

    Google Scholar 

  3. Y. Liu, R. Emery, D. Chakrabarti, W. Burgard, and S. Thrun. Using EM to learn 3D models with mobile robots. In Proceedings of the International Conference on Machine Learning (ICML), 2001.

    Google Scholar 

  4. C. Martin and S. Thrun. Online acquisition of compact volumetric maps with mobile robots. In IEEE International Conference on Robotics and Automation (ICRA), Washington, DC, 2002. ICRA.

    Google Scholar 

  5. M. Montemerlo, S. Thrun, D. Koller, and B. Wegbreit. FastSLAM: A factored solution to the simultaneous localization and mapping problem. In Proceedings of the AAAI National Conference on Artificial Intelligence, Edmonton, Canada, 2002. AAAI.

    Google Scholar 

  6. M. Montemerlo, S. Thrun, D. Koller, and B. Wegbreit. FastSLAM 2.0: An improved particle filtering algorithm for simultaneous localization and mapping that provably converges. In Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence (IJCAI), Acapulco, Mexico, 2003. IJCAI.

    Google Scholar 

  7. C. Pradalier and F. Colas. Expressing bayesian fusion as a product of distributions: Applications in robotics. In IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, October 2003.

    Google Scholar 

  8. Chatila R. and Laumond J.-P. Position referencing and consistent world modeling for mobile robots. In IEEE International Conference on Robotics and Automation, pages 138–145, 1985.

    Google Scholar 

  9. C. Tay, C. Pradalier, and C. Laugier. Vehicle detection and car park mapping using laser scanner. 2005.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Tay Meng Keat, C., Pradalier, C., Laugier, C. (2006). Online Reconstruction of Vehicles in a Car Park. In: Corke, P., Sukkariah, S. (eds) Field and Service Robotics. Springer Tracts in Advanced Robotics, vol 25. Springer, Berlin, Heidelberg . https://doi.org/10.1007/978-3-540-33453-8_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-33453-8_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-33452-1

  • Online ISBN: 978-3-540-33453-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics