Skip to main content

A Driving Assistance System for Navigation in Urban Environments

  • Conference paper
Advances in Artificial Intelligence – IBERAMIA 2010 (IBERAMIA 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6433))

Included in the following conference series:

Abstract

Mobile robot navigation in urban environments is a very complex task. As no single sensor is capable to deal with these situations by itself, sensor fusion techniques are required to allow safe navigation in this type of environment. This paper proposes an approach to combine different sensors in order to assist a driver in a cooperative manner. An adaptive attention zone in front of the vehicle is defined and the driver is notified about obstacles presence, identifying dangerous situations. Experiments using a commercial vehicle loaded with GPS and a LIDAR sensor have been performed in real environments in order to evaluate proposed approach.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Thrun, S., Montemerlo, M., Dahlkamp, H., Stavens, D., Aron, A., et al.: Stanley: The robot that won the darpa grand challenge. Research Articles. J. Robot. Syst. 23(9), 661–692 (2006)

    Google Scholar 

  2. Urmson, C., Anhalt, J., Bagnell, D., Baker, C., Bittner, R., et al.: Autonomous driving in urban environments: Boss and the urban challenge. J. Field Robot. 25(8), 425–466 (2008)

    Article  Google Scholar 

  3. ELROB: The European Robot Trial, http://www.elrob.org/ (last visited June 2010)

  4. Subramanian, R.: Motor Vehicle Traffic Crashes as a Leading Cause of Death in the U.S., 2002 – A Demographic Perspective. NHTSA Technical Report. Springfield, VA (June 2005)

    Google Scholar 

  5. Rossi, J. and Maia, H.: Mortes no trânsito se iguala a homicídios. Jornal da Tarde (06/18/2008), http://carros.wordpress.zap.com.br/ultimas-noticias/mortes-no-transito-se-iguala-a-homicidios-20080618/ (last Visited June 2010)

  6. ITARDA: What Sort of Human Errors Cause Traffic Accidents? Institute for Traffic Accident Research and Data Analysis. Technical report. Japan (2001)

    Google Scholar 

  7. Keay, L., Munoz, B., Turano, K.A., et al.: Visual and Cognitive Deficits Predict Stopping or Restricting Driving: The Salisbury Eye Evaluation Driving Study (SEEDS). Investigative Ophthalmology and Visual Science 50, 107–113 (2009)

    Article  Google Scholar 

  8. Kyo, S., Okazaki, S.: In-vehicle vision processors for driver assistance systems. In: Design Automation Conference, ASPDAC Seoul, Korea, pp. 383–388 (April 2008)

    Google Scholar 

  9. Agarwal, V., Murali, V., Chandramouli, C.: A Cost-Effective Ultrasonic Sensor-Based Driver-Assistance System for Congested Traffic Conditions. IEEE Transactions on Intelligent Transportation Systems 10(3), 486–498 (2009)

    Article  Google Scholar 

  10. Sick Ag Inc.: Quick Manual for LMS communication setup, Germany (March 2002)

    Google Scholar 

  11. Garmin International Inc.: GPS 18x Technical Specification 190-00879-08 Revision B. Kansas, USA (January 2008)

    Google Scholar 

  12. True North Technologies LLC.: Revolution Compass User’s Guide. Document No. 1554-D. Massachussets, USA (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Fernandes, L.C., Dias, M.A., Osório, F.S., Wolf, D.F. (2010). A Driving Assistance System for Navigation in Urban Environments. In: Kuri-Morales, A., Simari, G.R. (eds) Advances in Artificial Intelligence – IBERAMIA 2010. IBERAMIA 2010. Lecture Notes in Computer Science(), vol 6433. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16952-6_55

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-16952-6_55

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16951-9

  • Online ISBN: 978-3-642-16952-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics