Skip to main content

Vision In and Out of Vehicles: Integrated Driver and Road Scene Monitoring

  • Conference paper
  • First Online:
Experimental Robotics VIII

Part of the book series: Springer Tracts in Advanced Robotics ((STAR,volume 5))

Abstract

1.17 million people die in road crashes around the world each year. It is estimated that up to 30% of these fatalities are caused by fatigue and inattention. This paper presents preliminary results of an Intelligent Transport System (ITS) project that has fused visual lane tracking and driver monitoring technologies in the first step to closing the loop between vision inside and outside the vehicle. Experimental results of the active stereo-vision lane tracking system will be discussed focusing on the particle filter and cue fusion technology used. The results from the integration of the lane tracker and the driver monitoring system are presented with an analysis of the driver’s visual behavior in several different scenarios.

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. Parag H. Batavia, Dean A. Pomerleau, and Charles E. Thorpe. Overtaking vehicle detection using implicit optical flow. In Proc. IEEE Transport Systems Conference, 1997.

    Google Scholar 

  2. Ernst D. Dickmanns. An expectation-based, multi-focal, saccadic (ems) vision system for vehicle guidance. In Proc. International Symposium on Robotics and Research, Salt Lake City, Utah, October 1999.

    Google Scholar 

  3. Luke Fletcher, Nicholas Apostoloff, Jason Chen, and Alexander Zelinsky. Computer vision for vehicle monitoring and control. In Proc. Australian Conference on Robotics and Automation.

    Google Scholar 

  4. HoRSCoCTA. Inquiry into Managing Fatigue in Transport. The Parliament of the Commonwealth of Australia, 2000.

    Google Scholar 

  5. M. Isard and A. Blake. Condensation-conditional density propagation for visual tracking. International Journal of Computer Vision 92(1), 1998.

    Google Scholar 

  6. Gareth Loy, Luke Fletcher, Nicholas Apostoloff, and Alexander Zelinsky. An adaptive fusion architecture for target tracking. In Proc. The 5th International Conference on Automatic Face and Gesture Recognition.

    Google Scholar 

  7. Seeing Machines. Facelab face and eye tracking system. http://www.seeingmachines.com

  8. A. Soto and P. Khosla. Probabilistic adaptive agent based system for dynamic state estimation using multiple visual cues. In Proceedings of the International Symposium of Robotics Research (ISRR).

    Google Scholar 

  9. A. Suzuki, N. Yasui, N. Nakano, and M. Kaneko. Lane recognition system for guiding of autonomous vehicle. In Proceedings of the Intelligent Vehicles Symposium, 1992, pages 196–201, 1992.

    Google Scholar 

  10. Harley Truong, Samir Abdallah, Sebastien Rougeaux, and Alexander Zelinsky. A novel mechanism for stereo active vision. In Proc. Australian Conference on Robotics and Automation.

    Google Scholar 

  11. Trent Victor, Olle Blomberg, and Alexander Zelinsky. Automating driver visual behaviour measurement. In Proc. Vision in Vehicles 9.

    Google Scholar 

  12. Todd Williamson and Charles Thorpe. A trinocular stereo system for highway obstacle detection. In Proc. International Conference on Robotics and Automation (ICRA99), 1999.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Apostoloff, N., Zelinsky, A. (2003). Vision In and Out of Vehicles: Integrated Driver and Road Scene Monitoring. In: Siciliano, B., Dario, P. (eds) Experimental Robotics VIII. Springer Tracts in Advanced Robotics, vol 5. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36268-1_58

Download citation

  • DOI: https://doi.org/10.1007/3-540-36268-1_58

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00305-2

  • Online ISBN: 978-3-540-36268-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics