October 2003
Volume 3, Issue 9
Vision Sciences Society Annual Meeting Abstract  |   October 2003
Sensory input for real-world, controlled braking
Author Affiliations
  • Charles R Fox
    Franklin & Marshall College, USA
Journal of Vision October 2003, Vol.3, 381. doi:10.1167/3.9.381
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      Charles R Fox, Matthew D Lintal, Seth S Modesto, Alfred Owens; Sensory input for real-world, controlled braking. Journal of Vision 2003;3(9):381. doi: 10.1167/3.9.381.

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      © ARVO (1962-2015); The Authors (2016-present)

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Based on studies of perception of time-to-collision, one might predict that drivers' control of speed and braking depends upon visual expansion fields as defined by Tau-dot. We tested this hypothesis by measuring braking behavior under real-world road condition using a ‘vicarious driving’ task. Observers rode over a 28-mile course as passengers in an instrumented car that recorded speed, application of a simulated brake pedal, and passage of designated roadside landmarks. Observers applied the “brake” at the last moment to prevent collision at the plane of the landmark, at speeds ranging from ∼45 to 110 km/h.

Brake response distances were calculated on the basis of vehicle speed and the time difference between “brake” application and passage through the target plane. Tau-dot values were calculated by the following equation:

Tau-dot = (−1(zD/V^2))

where: z= eye-to-target distance, V=velocity, D=deceleration

These theoretical estimates of perceived time-to-collision were converted to stopping distances.

Results replicated earlier findings that braking-response distances increased as a function speed^2. This supports the hypothesis that drivers can perceive their vehicle's kinetic energy. Although the data fit tau-dot predictions at low speeds [<70 km/h], response distances are consistently shorter than predicted at higher speeds. This discrepancy suggests that other information in addition to tau-dot plays a role in control of vehicle speed and braking. Additional information may be available from non-visual sources (e.g., auditory, proprioceptive, and vestibular correlates of inertial forces) as well as other aspects of the dynamic visual array. Current experiments are testing analogous braking behavior in a fixed-base simulator with a video presentation of the road course, which eliminates non-visual information.

Fox, C. R., Lintal, M. D., Modesto, S. S., Owens, A.(2003). Sensory input for real-world, controlled braking [Abstract]. Journal of Vision, 3( 9): 381, 381a, http://journalofvision.org/3/9/381/, doi:10.1167/3.9.381. [CrossRef]

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