Mesopic models—from brightness matching to visual performance in night-time driving: a review

Eloholma, Marjukka; Viikari, Meri; Halonen, Liisa; Walkey, Helen C.; Goodman, T.; Alferdinck, J.W.A.M.; Freiding, Achim; Bodrogi, Peter Zsolt; Várady, Géza

doi:10.1191/1365782805li135oa

Cited by 57 publications

(36 citation statements)

References 40 publications

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“…16 This consortium has adopted a task performance based approach for night-time driving, in which mesopic visual performance has been divided into three subtasks. In this paper the authors present results related to the subtask 'can it be seen?…”

Section: Introductionmentioning

confidence: 99%

Mesopic visual efficiency I: detection threshold measurements

Freiding

Eloholma

Ketomäki

et al. 2007

Lighting Research & Technology

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Achromatic thresholds are measured at three sites to investigate the effects of light spectrum on achromatic detection thresholds in the mesopic region. The results of measurements using quasi-monochromatic targets reveal spectral sensitivity functions with two or three peaks, a so-called 'chromatic effect' which is assumed to be due to the influence of the colour-opponent channels. This chromatic contribution seem to be less significant at lower luminances but it is accentuated for peripheral observation. Results obtained with broadband stimuli show that the contrast threshold, defined in terms of V(), is markedly higher for red targets than for other colours, particularly at lower light levels. For these broadband targets, contrast threshold values calculated using the new spectral sensitivity curves instead of V() are in better agreement with the experimental results, particularly for the peripheral detection task.

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Section: Introductionmentioning

confidence: 99%

Mesopic visual efficiency I: detection threshold measurements

Freiding

Eloholma

Ketomäki

et al. 2007

Lighting Research & Technology

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“…, 2006). Mesopic models of brightness and visual performance were compared (Eloholma et al. , 2005), and significant differences were found due to their different retinal and post‐retinal processing mechanisms (Eloholma and Halonen, 2005).…”

Section: Introductionmentioning

confidence: 99%

Effect of chromatic mechanisms on the detection of mesopic incremental targets at different eccentricities

Bodrogi

Vas

Haferkemper

et al. 2010

Ophthalmic and Physiological Optics

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Spectral sensitivity functions for the threshold detection of mesopic incremental targets were compared for different target eccentricities (10, 20, and 30 degrees ) and for different mesopic backgrounds (0.1, 0.5 and 1.0 cd m(-2)). Relative responsivities of achromatic mechanisms (L + M and rods) and chromatic mechanisms (S and /L-M/) were estimated for each eccentricity and background. Chromatic mechanisms contribute significantly to detection but their effect is lower at 30 degrees . A new contrast metric (C(CHC2)) is introduced to account for the selective adaptation of the photoreceptors and the effects of the chromatic mechanisms i.e. broadening of the range of spectral sensitivity with multiple local maxima and yellow sub-additivity of detection performance. The C(CHC2) metric is compared with the achromatic contrast metric of the MOVE model (C(MOVE)). For the same target, C(CHC2) generally predicts a higher visibility level than C(MOVE). However, in accordance with visual observations, for grey or yellowish incremental targets appearing at the eccentricities of 20 and 30 degrees , the visibility predicted by C(CHC2) is less than the visibility predicted by C(MOVE).

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“…The use of brightness matching as the basic task in developing a mesopic photometric system has recently been questioned (Goodman, 1997; Rea et al. , 2004; Eloholma et al. , 2005).…”

Section: Introductionmentioning

confidence: 99%

“…This paper introduces an experimental multitechnique method which was developed to establish a basis for a task performance‐based mesopic photometry (Eloholma et al. , 2005).…”

Section: Introductionmentioning

confidence: 99%

Visual performance in night‐time driving conditions

Eloholma¹,

Ketomäki²,

Orreveteläinen³

et al. 2006

Ophthalmic Physiologic Optic

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This paper introduces an experimental multitechnique method which was developed to establish a basis for a task performance-based mesopic photometry. This approach considers night-time driving by dividing visual performance into three visual tasks, of which achromatic threshold and reaction time are presented. The performance of both visual tasks decreased with decreasing luminance level from 1 to 0.01 cd m(-2), showing the strong effect of light level on visual performance in driving. The behaviour of the achromatic contrast threshold and reaction time for low-contrast targets was similar in terms of spectral effects, the strongest effects occurring at the lower mesopic levels. Both measures showed the Purkinje shift with decreasing luminance levels. The experimental data were used to calculate mesopic performance measures with the new mesopic model. The results imply that compared with V(lambda), spectral sensitivity in night-time driving can be better described with a mesopic model based on visual performance measures.

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Mesopic models—from brightness matching to visual performance in night-time driving: a review

Cited by 57 publications

References 40 publications

Mesopic visual efficiency I: detection threshold measurements

Mesopic visual efficiency I: detection threshold measurements

Effect of chromatic mechanisms on the detection of mesopic incremental targets at different eccentricities

Visual performance in night‐time driving conditions

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