Achieving intelligent performance in autonomous on-road driving

Craig I. Schlenoff; John M. Evans; Anthony J. Barbera; James S. Albus; Elena R. Messina; Stephen B. Balakirsky

doi:10.1117/12.580221

29 December 2004 Achieving intelligent performance in autonomous on-road driving

Craig I. Schlenoff, John M. Evans, Anthony J. Barbera, James S. Albus, Elena R. Messina, Stephen B. Balakirsky

Author Affiliations +

Proceedings Volume 5609, Mobile Robots XVII; (2004) https://doi.org/10.1117/12.580221
Event: Optics East, 2004, Philadelphia, Pennsylvania, United States

Abstract

This paper describes NIST’s efforts in evaluating what it will take to achieve autonomous human-level driving skills in terms of time and funding. NIST has approached this problem from several perspectives: considering the current state-of-the-art in autonomous navigation and extrapolating from there, decomposing the tasks identified by the Department of Transportation for on-road driving and comparing that with accomplishments to date, analyzing computing power requirements by comparison with the human brain, and conducting a Delphi Forecast using the expert researchers in the field of autonomous driving. A detailed description of each of these approaches is provided along with the major finding from each approach and an overall picture of what it will take to achieve human level driving skills in autonomous vehicles.

Citation Download Citation

Craig I. Schlenoff, John M. Evans, Anthony J. Barbera, James S. Albus, Elena R. Messina, and Stephen B. Balakirsky "Achieving intelligent performance in autonomous on-road driving", Proc. SPIE 5609, Mobile Robots XVII, (29 December 2004); https://doi.org/10.1117/12.580221

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