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Achieving intelligent performance in autonomous on-road driving

Published

Author(s)

Craig I. Schlenoff, John Evans, Tony Barbera, James S. Albus, Elena R. Messina

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 stateof- 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.
Proceedings Title
Proceedings of SPIE Optics East 2004
Conference Dates
October 25-28, 2004
Conference Location
Philadelphia, PA, USA
Conference Title
Industrial Optical Robotic Systems Technology & Applications

Keywords

4D/RCS, autonomous navigation, human-level performance, MARS, Mobility, on-road driving, Robotics & Intelligent Systems, Unmanned Systems

Citation

Schlenoff, C. , Evans, J. , Barbera, T. , Albus, J. and Messina, E. (2004), Achieving intelligent performance in autonomous on-road driving, Proceedings of SPIE Optics East 2004, Philadelphia, PA, USA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=822559 (Accessed December 3, 2023)
Created October 27, 2004, Updated October 12, 2021