2012
DOI: 10.7554/elife.00031
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Foggy perception slows us down

Abstract: Visual speed is believed to be underestimated at low contrast, which has been proposed as an explanation of excessive driving speed in fog. Combining psychophysics measurements and driving simulation, we confirm that speed is underestimated when contrast is reduced uniformly for all objects of the visual scene independently of their distance from the viewer. However, we show that when contrast is reduced more for distant objects, as is the case in real fog, visual speed is actually overestimated, prompting dri… Show more

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Cited by 37 publications
(60 citation statements)
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References 28 publications
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“…Like directional anisotropies, the effect of luminance contrast on the perceived motion also received the attention of several studies in the last forty years (Blakemore & Snowden, 1999;Hassan & Hammett, 2015;Pretto et al, 2012;Stocker & Simoncelli, 2006;Thompson et al, 2006;Weiss et al, 2002). This phenomenon occurs with a variety of motion stimuli, including sine-wave gratings, random dot patterns, and discs (similar to those used in the present study).…”
Section: Discussionmentioning
confidence: 57%
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“…Like directional anisotropies, the effect of luminance contrast on the perceived motion also received the attention of several studies in the last forty years (Blakemore & Snowden, 1999;Hassan & Hammett, 2015;Pretto et al, 2012;Stocker & Simoncelli, 2006;Thompson et al, 2006;Weiss et al, 2002). This phenomenon occurs with a variety of motion stimuli, including sine-wave gratings, random dot patterns, and discs (similar to those used in the present study).…”
Section: Discussionmentioning
confidence: 57%
“…Human observers take into account the effect of contrast attenuation due to particles in water in perceptual judgments. Due to water droplets in air, which is even augmented in fog, objects having lower luminance contrast are perceived as farther in space (O'Shea et al, 1994;Pretto et al, 2012). Observers consider the effects of a water medium on the deformation in shape of an object (Dövencioglu, van Doorn, Koenderink, & Doerschner, 2018), and take into account buoyancy to estimate object motion (Castillo, Waltzer, & Kloos, 2017;Masin & Rispoli, 2010).…”
Section: Models For Speed Perceptionmentioning
confidence: 99%
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“…The errors predicted by the current model will no doubt be most apparent in the real world under demanding conditions, such as when there is limited time, or poor visibility (Pretto, Bresciani, Rainer, & Bülthoff, 2012;Shrivastava, Hayhoe, Pelz, & Mruczek, 2010;Snowden, Stimpson, & Ruddle, 1998). In situations where sensory uncertainty is very low, the model predicts that these perceptual errors will be negligible.…”
Section: Errors In the Real Worldmentioning
confidence: 72%
“…In the laboratory, a large number of studies have reported systematic biases in the perception of 3D motion, despite the availability of many such cues (Fulvio, Rosen, & Rokers, 2015;Harris & Dean, 2003;Harris & Drga, 2005;Lages, 2006;Rushton & Duke, 2007;Welchman, Lam, & Bülthoff, 2008;Welchman, Tuck, & Harris, 2004). These perceptual errors may contribute to behavioral failures in real world scenarios, such as catching projectiles (Peper, Bootsma, Mestre, & Bakker, 1994) and driving under foggy conditions (Pretto, Bresciani, Rainer, & Bülthoff, 2012;Shrivastava, Hayhoe, Pelz, & Mruczek, 2010;Snowden, Stimpson, & Ruddle, 1998). Here we ask if a range of systematic errors in 3D motion perception can be understood as the consequence of 3D viewing geometry and reasonable prior expectations about the world.…”
Section: Introductionmentioning
confidence: 97%