NDLI: Towards a complete human driver model: the effect of vision on driving performance

Content Provider	IEEE Xplore Digital Library
Author	Barton, J.E. Cohn, T.E. Tomizuka, M.
Copyright Year	2006
Description	Author affiliation: Dept. of Mech. Eng., California Univ., Berkeley, CA (Barton, J.E.)
Abstract	The detection of impending collisions and the subsequent choice and regulation of maneuvers to deal with them are important tasks for automobile drivers. In carrying out these activities, drivers rely chiefly (oftentimes exclusively) upon their visual systems. To date, however, this aspect of a driver's performance has largely been neglected, with the result that human driver models often incorporate visual components based upon idealized behavior and in some cases questionable assumptions. If the visual component is incorrect, the entire model will to some degree be compromised. In this study we begin to address this deficiency by quantifying the visual system's ability to detect and track a vehicle's approach, as represented by the rate of change of the angle B that its image subtends on the retina of the eye. The shortcomings of human driver models based upon current assumptions are discussed, and the development of improved models based the dynamic response characteristics of the visual system and the principles of signal detection are described. To focus our efforts we have assumed a fairly constrained driving scenario (the "lead vehicle braking" scenario), but these results are applicable to any scenario (automotive or not) in which the observer has an unobstructed view of the approach of an object or stationary obstacle
Sponsorship	American Automatic Control Council IFAC
File Size	471630
File Format	PDF
ISBN	1424402093
e-ISBN	1424402107
DOI	10.1109/ACC.2006.1656613
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Humans Visual system Road accidents Automobiles Vehicle detection Retina Vehicle dynamics Signal detection Focusing Vehicle driving
Content Type	Text
Resource Type	Article

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