The effectiveness of glare-reducing glasses on simulated nighttime driving performance in younger and older adults

Friedland, Heath T.; Snycerski, Susan; Palmer, Evan M.; Laraway, Sean

doi:10.1007/s10111-017-0442-2

Cited by 12 publications

(4 citation statements)

References 44 publications

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“…Future research and practical applications could explore developing targeted strategies for addressing specific visual impairments in older drivers in the context of distinct lighting challenges [ 13 , 20 ]. These strategies include considering using polarizing eyeglasses or other glare mitigation techniques [ 58 ]. Future studies should also advocate for including novel vision tests that mimic the effects of nighttime conditions and a glare source [ 5 , 27 , 48 ].…”

Section: Discussionmentioning

confidence: 99%

Visual Function and Driving Performance Under Different Lighting Conditions in Older Drivers: Preliminary Results From an Observational Study

Yang,

Alshaikh,

et al. 2024

JMIR Form Res

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Background Age-related vision changes significantly contribute to fatal crashes at night among older drivers. However, the effects of lighting conditions on age-related vision changes and associated driving performance remain unclear. Objective This pilot study examined the associations between visual function and driving performance assessed by a high-fidelity driving simulator among drivers 60 and older across 3 lighting conditions: daytime (photopic), nighttime (mesopic), and nighttime with glare. Methods Active drivers aged 60 years or older participated in visual function assessments and simulated driving on a high-fidelity driving simulator. Visual acuity (VA), contrast sensitivity function (CSF), and visual field map (VFM) were measured using quantitative VA, quantitative CSF, and quantitative VFM procedures under photopic and mesopic conditions. VA and CSF were also obtained in the presence of glare in the mesopic condition. Two summary metrics, the area under the log CSF (AULCSF) and volume under the surface of VFM (VUSVFM), quantified CSF and VFM. Driving performance measures (average speed, SD of speed [SDspeed], SD of lane position (SDLP), and reaction time) were assessed under daytime, nighttime, and nighttime with glare conditions. Pearson correlations determined the associations between visual function and driving performance across the 3 lighting conditions. Results Of the 20 drivers included, the average age was 70.3 years; 55% were male. Poor photopic VA was significantly correlated with greater SDspeed (r=0.26; P<.001) and greater SDLP (r=0.31; P<.001). Poor photopic AULCSF was correlated with greater SDLP (r=–0.22; P=.01). Poor mesopic VUSFVM was significantly correlated with slower average speed (r=–0.24; P=.007), larger SDspeed (r=–0.19; P=.04), greater SDLP (r=–0.22; P=.007), and longer reaction times (r=–0.22; P=.04) while driving at night. For functional vision in the mesopic condition with glare, poor VA was significantly correlated with longer reaction times (r=0.21; P=.046) while driving at night with glare; poor AULCSF was significantly correlated with slower speed (r=–0.32; P<.001), greater SDLP (r=–0.26; P=.001) and longer reaction times (r=–0.2; P=.04) while driving at night with glare. No other significant correlations were observed between visual function and driving performance under the same lighting conditions. Conclusions Visual functions differentially affect driving performance in different lighting conditions among older drivers, with more substantial impacts on driving during nighttime, especially in glare. Additional research with larger sample sizes is needed to confirm these results.

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Section: Discussionmentioning

confidence: 99%

Visual Function and Driving Performance Under Different Lighting Conditions in Older Drivers: Preliminary Results From an Observational Study

Yang,

Alshaikh,

et al. 2024

JMIR Form Res

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“…U řidičů hraje při oslnění roli věk (s přibývajícím věkem se člověk stává na oslnění citlivějším), aktivita neuronů ve zrakové kůře, pigmentace duhovky (lidé se světlýma očima jsou zřejmě na oslnění citlivější než lidé tmavoocí), aktuální emoční ladění, zdravotní a fyzický stav, únava a mnohé další faktory (Pierson et al, 2017). Potíže s oslněním mají tedy především starší lidé (Friedland et al, 2017), za některých okolností je však mnohem více oslněn řidič mladší (Gray et al, 2012).…”

Section: Reakce řIdičů Na Oslněníunclassified

Metodika pro posuzování oslnění světlomety osobních automobilů z hlediska řidičů

Viktorová¹,

Stanke²,

Hamerníková³

et al. 2022

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“…When dazzled by a light source, typical reactions by the drivers are (1) flipping down the sunshades, which is not always effective, especially when the glare is caused by a low-positioned external light source, e.g., low sun or direct light from the headlights of an oncoming vehicle; [1] (2) using one hand to occlude the strong light source from the eyes of the driver, which is not safe and can block the view of some important obstacles on the road; and (3) wearing sunglasses, which has comfort issues. [2] For autonomous vehicles, which depend on onboard cameras for navigation, none of these reactions is possible, thus resulting in the partial or full loss of environment perception and subsequent failures.…”

Section: Introductionmentioning

confidence: 99%

An algorithm for glare detection via photometric, colorimetric, and global positioning features

Andalibi

Kawai²,

Chandler

2020

AIR

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Biological and automated vision systems which use digital video for navigation depend on the video to be of sufficient quality in order to extract reliable information that can inform the guidance and/or other decision-making processes. Although systems are available for detection and mitigation of digital distortions (e.g., compression, packet loss), detection and mitigation of natural distortions such as glare, rain, and fog have received much less attention. In this paper, we address the issue of glare detection in a single captured frame. We propose an algorithm which uses a combination of simple and efficient photometric, colorimetric, and GPS features to detect the location and spatial extent of glare within captured images. Specifically, feature maps using lightness, saturation, contrast, and color distance are computed, combined, and then, refined based on the sun's predicted location from the GPS information. In addition, we present a new ground-truth database for glare detection, in which the location, extent, and severity of glare was rated by human subjects for a collection of images. Testing on our ground-truth database revealed that the proposed algorithm can reliably detect the locations and spatial extents of glare sources in a variety of images based on subjective ratings and well-known quantitative measures.

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The effectiveness of glare-reducing glasses on simulated nighttime driving performance in younger and older adults

Cited by 12 publications

References 44 publications

Visual Function and Driving Performance Under Different Lighting Conditions in Older Drivers: Preliminary Results From an Observational Study

Visual Function and Driving Performance Under Different Lighting Conditions in Older Drivers: Preliminary Results From an Observational Study

Metodika pro posuzování oslnění světlomety osobních automobilů z hlediska řidičů

An algorithm for glare detection via photometric, colorimetric, and global positioning features

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