Skip to main content

People Detection using Double Layered Multiple Laser Range Finders by a Companion Robot

  • Chapter
  • First Online:
Multisensor Fusion and Integration for Intelligent Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 35))

Abstract

Successful detection and tracking of people is a basic requirement to achieve a robot symbiosis in people daily life. Specifically, a mobile robot designed to follow people needs to keep track of people position through time, for it defines the robot’s position and trajectory.

This work proposes a new method people detection and position estimation from a mobile robot by fusion of multiple Laser Range Finders arranged in two layers. Sensors facing opposite directions in a single row (layer) are combined to produce a 360° representation of robot’s surroundings, then data from every layer is further fused to create a 3D model of people and from there their position.

The main problem of our research is an autonomous mobile robot acting as member of a people group moving in public areas, simple but accurate people detection and tracking is an important requirement. We present experimental results of fusion steps and people detection in an indoor environment.

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 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
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. Fod A., Howard A., and Matarić, M. (2002) Laser-based people tracking. In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Washington DC, U.S.A, 3024–3029.

    Google Scholar 

  2. Cui J., Zha H., Zhao H., and Shibasaki R. (2006) Robust Tracking of Multiple People in Crowds Using Laser Range Scanners. In: Proceedings of the IEEE 18th International Conference on Pattern Recognition (ICPR), Hong Kong, China, 857–860.

    Google Scholar 

  3. Zhao H., Chen Y., Shao X., Katabira K., and Shibasaki R. (2007) Monitoring a Populated Environment Using Single-row Laser Range Scanners from a Mobile Platform. In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Roma, Italy, 4739–4745.

    Google Scholar 

  4. Xavier J., Pacheco M., Castro D., Ruano A., and Nunes U. (2005) Fast Line, Arc/Circle and Leg Detection from Laser Scan Data in a Player Driver. In: Proceedings of the IEEE International Conference in Robotics and Automation (ICRA), Barcelona, Spain, 3941–3946.

    Google Scholar 

  5. Lee J. H., Tsubouchi T., Yamamoto K., and Egawa S. (2006) People Tracking Using a Robot in Motion with Laser Range Finder. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Beijing, China, 2936–2942.

    Google Scholar 

  6. Arras K. O, Martínez Mozos O., and Burgard W. (2007) Using Boosted Features for the Detection of People in 2D Range Data. In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Roma, Italy, 3402–3407.

    Google Scholar 

  7. Montemerlo M., Thrun S., and Whittaker W. (2002) Conditional particle filters for simultaneous mobile robot localization and people-tracking. In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Washington DC, U.S.A, 695–701.

    Google Scholar 

  8. Yuta S., Suzuki S., and Iida S. (1991) Implementation of a Small Size Experimental Self-contained Autonomous Robot - Sensors, Vehicle Control, and Description of Sensor Based Behavior. Lecture Notes in Control and Information Sciences: Second International Symposium on Experimental Robotics (ISER), Toulouse, France, Springer-Verlag, 190:344–358.

    Google Scholar 

  9. Kawata H., Kamimura S., Ohya A., Iijima J., and Yuta S. (2006) Advanced Functions of the Scanning Laser Range Sensor for Environment Recognition in Mobile Robots. In: Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, Heidelberg, Germany, 414–419.

    Google Scholar 

  10. Dietmayer K. C. J., Sparbert J., and Streller D. (2001) Model Based Classification and Object Tracking in Traffic Scenes from Range-Images. In: Proceedings of 4th IEEE Intelligent Vehicles Symposium, Tokyo, Japan.

    Google Scholar 

  11. Hokuyo Automatic Co., Ltd. http://www.hokuyo-aut.co.jp/

  12. Pilu M., Fitzgibbon A. W., and Fisher R. B. (1996) Ellipse-specific Direct Least-square Fitting. In: Proceedings of the IEEE International Conference on Image Processing, Lausanne, Switzerland, 3:16–19.

    Google Scholar 

  13. Latt M. D., Menz H. B., Fung V. S., and Lord S. R. (2008) Walking Speed, Cadence and Step Length are Selected to Optimize the Stability of Head and Pelvis Acceleration. Experimental Brain Research, Springer Berlin, 184(2):201–209.

    Google Scholar 

  14. Takeuchi E., Tsubouchi T., and Yuta S. (2003) Integration and Synchronization of External Sensor Data for a Mobile Robot. In: Proceedings of the Society of Instrument and Control Engineers (SICE) Annual Conference, Fukui, Japan, 1:332–337

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alexander Carballo .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Carballo, A., Ohya, A., Yuta, S. (2009). People Detection using Double Layered Multiple Laser Range Finders by a Companion Robot. In: Hahn, H., Ko, H., Lee, S. (eds) Multisensor Fusion and Integration for Intelligent Systems. Lecture Notes in Electrical Engineering, vol 35. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89859-7_22

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-89859-7_22

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89858-0

  • Online ISBN: 978-3-540-89859-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics