Advertisement

Night Vision - Reduced Driver Distraction, Improved Safety and Satisfaction

  • Klaus Fuchs
  • Bettina Abendroth
  • Ralph Bruder
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5639)

Abstract

Accidents in the dark in non-urban areas result in disproportionately high rates of pedestrians injuries (Hülsen 2003).

This paper describes the methods and results of test drives with 39 test persons for the assessment of driver behavior in interacting with different Human-Machine-Interfaces (HMI) for Night Vision systems which inform drivers about the presence of pedestrians.

Data of driver eye movements was analyzed to evaluate the different HMI designs of pedestrian alerts, in a passenger vehicle with Head-up-Display (HUD), regarding the ergonomic suitability and safety benefit.

All systems were compared in field tests on public roads and on a test track.

Keywords

night-vision head-up display eye tracking driver distraction 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Fardi, B., Scheunert, U., Wanielik, G.: Shape and motion-based pedestrian detection in infrared images: a multi sensor approach. In: IEEE Intelligent Vehicles Symposium, Las Vegas, NV (2005)Google Scholar
  2. 2.
    Hülsen, H.: Unfallgeschehen mit Fußgängern bei Nacht. In: Deutscher Verkehrssicherheitsrat e.V. (ed.), Unfälle in der Dunkelheit, pp. 14–17. Deutscher Verkehrssicherheitsrat e.V, St. Augustin (2003)Google Scholar
  3. 3.
    Jones, W.: Safer Driving in The Dead of Night. In: Jones, D. (ed.) IEEE Spectrum, vol. 43(3), pp. 20–21 (2006)Google Scholar
  4. 4.
    Just, M.A., Carpenter, P.A.: A theory of reading: From eye fixations to comprehension. Psychological Review 87, 329–354 (1980)CrossRefGoogle Scholar
  5. 5.
    Rötting, M.: Parametersystematik der Augen- und Blickbewegungen für arbeitswissenschaftliche Untersuchungen. Schriftenreihe Rationalisierung und Humanisierung, 34. Shaker, Aachen (2001); Doctoral Dissertation, RWTH AachenGoogle Scholar
  6. 6.
    Scheunert, U., Cramer, H., Fardi, B., Wanielik, G.: Multi-Sensor-Daten-Fusion zur Personenerkennung mit dem Merkmalsmodell. In: INFORMATIK 2005, - Informatik LIVE! vol. 2, Beiträge der 35. Jahrestagung der Gesellschaft für Informatik e.V, GI (2005)Google Scholar
  7. 7.
    Seifert, K., Rötting, M., Jung, R.: Registrierung von Blickbewegungen im Kraftfahrzeug. In: Jürgensohn, T., Timpe, K.P. (eds.), pp. 207–228. Springer, Berlin (2001)Google Scholar
  8. 8.
    Yan, X., Harb, R., Radwan, E.: Analyses of factors of crash avoidance maneuvers using the general estimates system, Traffic Inj. Prev., Knoxville, Tennessee, USA, vol. 9(2) (June 2008)Google Scholar
  9. 9.
    Zwahlen, H.T., Adams Jr., C.C.: Safety aspects of CRT touch panel-controls in automobiles. In: Gale, A.G., Freeman, H.M., Haslegrave, C.M., Smith, P., Taylor, S.P. (eds.) Vision in Vehicles II, pp. 335–344. Elsevier, Amsterdam (1988)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Klaus Fuchs
    • 1
  • Bettina Abendroth
    • 1
  • Ralph Bruder
    • 1
  1. 1.Institut für ArbeitswissenschaftTU-DarmstadtDarmstadtGermany

Personalised recommendations