The effect of assuming static or dynamic gaze behaviour on the estimated background luminance of drivers

Application of the Commission Internationale de l’Eclairage system for mesopic photometry requires that an estimate is made of the observers’ state of luminance adaptation. This paper addresses an assumption made when estimating background luminance, a component of adaptation luminance. Specifically, using spatial sampling of the visual field we compare background luminances determined from assumptions of static or dynamic visual gaze, the former being a simplification, the latter being a better representation based on eye movements when driving. The comparison was undertaken with luminance images of urban scenes at night on three roads, two real and one simulated. It was found that background luminances were significantly higher when estimated using the dynamic assumption. It was also found that scene luminances at the point of foveal fixations tend to be higher than those luminances influencing peripheral regions of the retina. Compared with the background luminance estimated for a dynamic peripheral field, a horizon-centred 10° circle led to a slightly higher estimate and the road surface luminance to a slightly lower estimate of background luminance.

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Veiling luminance and visual adaptation field in mesopic photometry

Lighting Research and Technology ◽

10.1177/1477153516637400 ◽

2016 ◽

Vol 49 (6) ◽

pp. 743-762 ◽

Cited By ~ 4

Author(s):

M Maksimainen ◽

M Puolakka ◽

E Tetri ◽

L Halonen

Keyword(s):

Visual Field ◽

Road Surface ◽

Visual Adaptation ◽

High Luminance ◽

The Road ◽

Road Lighting ◽

Average Luminance ◽

Adaptation State ◽

Adaptation Field

In mesopic photometry, adaptation luminance is needed to derive the mesopic luminances for the measurement field. The average luminance of the visual adaptation field is considered as the adaptation luminance. The visual adaptation field has yet to be defined in terms of the size, shape, or location within the visual field. A study in three road lighting situations was conducted, in order to determine the feasibility of using the road surface as the adaptation field compared to circular or elliptical adaptation fields. Currently, the road surface is used as the measurement field for calculating road lighting. Using the road surface as the adaptation field resulted in 76–113%, higher average luminance than obtained using circular or elliptical adaptation fields when the road was bordered by a park. High-luminance sources outside of the visual adaptation field cause veiling luminance. Veiling luminance increases the adaptation state, but not the luminance within the measurement field. The bias veiling luminance can cause on mesopic luminance calculations was estimated to be less than 2%. The estimated bias can be considered trivial in practical road lighting measurements.

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Tire-Road Interactions — Harmony or Conflict?

Tire Science and Technology ◽

10.2346/1.2141676 ◽

1989 ◽

Vol 17 (1) ◽

pp. 66-84

Author(s):

A. R. Williams

Keyword(s):

Rolling Resistance ◽

Major Effect ◽

Road Surface ◽

Interactive Effects ◽

Central Theme ◽

Water Drainage ◽

The Road ◽

Truck Tires ◽

Road Surfaces ◽

Tire Wear

Abstract This is a summary of work by the author and his colleagues, as well as by others reported in the literature, that demonstrate a need for considering a vehicle, its tires, and the road surface as a system. The central theme is interaction at the footprint, especially that of truck tires. Individual and interactive effects of road and tires are considered under the major topics of road aggregate (macroscopic and microscopic properties), development of a novel road surface, safety, noise, rolling resistance, riding comfort, water drainage by both road and tire, development of tire tread compounds and a proving ground, and influence of tire wear on wet traction. A general conclusion is that road surfaces have both the major effect and the greater potential for improvement.

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Eye movements in sports research and practice: Immersive technologies as optimal environments for the study of gaze behaviour

10.31234/osf.io/fbwvk ◽

2020 ◽

Author(s):

David Harris ◽

Mark Wilson ◽

Tim Holmes ◽

Toby de Burgh ◽

Samuel James Vine

Keyword(s):

Virtual Reality ◽

Eye Movements ◽

Eye Tracking ◽

Visual Information ◽

Successful Performance ◽

Experimental Control ◽

Research And Practice ◽

Gaze Behaviour ◽

Immersive Technologies

Head-mounted eye tracking has been fundamental for developing an understanding of sporting expertise, as the way in which performers sample visual information from the environment is a major determinant of successful performance. There is, however, a long running tension between the desire to study realistic, in-situ gaze behaviour and the difficulties of acquiring accurate ocular measurements in dynamic and fast-moving sporting tasks. Here, we describe how immersive technologies, such as virtual reality, offer an increasingly compelling approach for conducting eye movement research in sport. The possibility of studying gaze behaviour in representative and realistic environments, but with high levels of experimental control, could enable significant strides forward for eye tracking in sport and improve understanding of how eye movements underpin sporting skills. By providing a rationale for virtual reality as an optimal environment for eye tracking research, as well as outlining practical considerations related to hardware, software and data analysis, we hope to guide researchers and practitioners in the use of this approach.

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Visual asymmetries during face encoding Increased dwell time and fixations in the upper and left hemifields

10.31234/osf.io/pc649 ◽

2018 ◽

Author(s):

Fatima Maria Felisberti

Keyword(s):

Face Recognition ◽

Eye Movements ◽

Visual Field ◽

Face Processing ◽

Dwell Time ◽

The Other ◽

Environmental Cues ◽

Reading Habits ◽

The Right

Visual field asymmetries (VFA) in the encoding of groups rather than individual faces has been rarely investigated. Here, eye movements (dwell time (DT) and fixations (Fix)) were recorded during the encoding of three groups of four faces tagged with cheating, cooperative, or neutral behaviours. Faces in each of the three groups were placed in the upper left (UL), upper right (UR), lower left (LL), or lower right (LR) quadrants. Face recognition was equally high in the three groups. In contrast, the proportion of DT and Fix were higher for faces in the left than the right hemifield and in the upper rather than the lower hemifield. The overall time spent looking at the UL was higher than in the other quadrants. The findings are relevant to the understanding of VFA in face processing, especially groups of faces, and might be linked to environmental cues and/or reading habits.

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Visual Field Accuracy and Eye Movement Direction: A Child's Eye View

Perceptual and Motor Skills ◽

10.1177/003151258005000250 ◽

1980 ◽

Vol 50 (2) ◽

pp. 631-636

Author(s):

Evans Mandes

Keyword(s):

Eye Movements ◽

Visual Field ◽

Eye Movement ◽

Visual Fields ◽

Movement Direction

Post-exposural eye movements were studied in 32 adults and 24 7-yr.-old children. Stimuli were binary figures exposed tachistoscopically in both visual fields simultaneously. The data showed significant correlations between direction of eye movement and locus of recognition for both children and adults. No significant differences were found in frequencies of eye movements of children and adults. The data are interpreted in terms of the facilitative effects of post-exposural eye movements upon perception for both groups.

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CNN-Based Road-Surface Crack Detection Model That Responds to Brightness Changes

Electronics ◽

10.3390/electronics10121402 ◽

2021 ◽

Vol 10 (12) ◽

pp. 1402

Author(s):

Taehee Lee ◽

Yeohwan Yoon ◽

Chanjun Chun ◽

Seungki Ryu

Keyword(s):

Surface Crack ◽

Autonomous Vehicles ◽

Crack Detection ◽

Model Performance ◽

Semantic Segmentation ◽

Road Surface ◽

Image Brightness ◽

The Road ◽

Detection Model ◽

Artificial Intelligence Models

Poor road-surface conditions pose a significant safety risk to vehicle operation, especially in the case of autonomous vehicles. Hence, maintenance of road surfaces will become even more important in the future. With the development of deep learning-based computer image processing technology, artificial intelligence models that evaluate road conditions are being actively researched. However, as the lighting conditions of the road surface vary depending on the weather, the model performance may degrade for an image whose brightness falls outside the range of the learned image, even for the same road. In this study, a semantic segmentation model with an autoencoder structure was developed for detecting road surface along with a CNN-based image preprocessing model. This setup ensures better road-surface crack detection by adjusting the image brightness before it is input into the road-crack detection model. When the preprocessing model was applied, the road-crack segmentation model exhibited consistent performance even under varying brightness values.

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Laboratory experiment on the nano-TiO2 photocatalytic degradation effect of road surface oil pollution

Nanotechnology Reviews ◽

10.1515/ntrev-2020-0072 ◽

2020 ◽

Vol 9 (1) ◽

pp. 922-933

Author(s):

Qing’e Wang ◽

Kai Zheng ◽

Huanan Yu ◽

Luwei Zhao ◽

Xuan Zhu ◽

...

Keyword(s):

Photocatalytic Degradation ◽

Oil Pollution ◽

Road Surface ◽

Test Method ◽

Driving Safety ◽

The Road ◽

Road Surfaces ◽

The Many ◽

The Impact ◽

Degradation Effect

AbstractOil leak from vehicles is one of the most common pollution types of the road. The spilled oil could be retained on the surface and spread in the air voids of the road, which results in a decrease in the friction coefficient of the road, affects driving safety, and causes damage to pavement materials over time. Photocatalytic degradation through nano-TiO2 is a safe, long-lasting, and sustainable technology among the many methods for treating oil contamination on road surfaces. In this study, the nano-TiO2 photocatalytic degradation effect of road surface oil pollution was evaluated through the lab experiment. First, a glass dish was used as a substrate to determine the basic working condition of the test; then, a test method considering the impact of different oil erosion degrees was proposed to eliminate the effect of oil erosion on asphalt pavement and leakage on cement pavement, which led to the development of a lab test method for the nano-TiO2 photocatalytic degradation effect of oil pollution on different road surfaces.

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Vision as oculomotor reward: cognitive contributions to the dynamic control of saccadic eye movements

Cognitive Neurodynamics ◽

10.1007/s11571-020-09661-y ◽

2021 ◽

Author(s):

Christian Wolf ◽

Markus Lappe

Keyword(s):

Eye Movements ◽

Visual Field ◽

Visual System ◽

Dynamic Control ◽

Saccadic Eye Movements ◽

Saccade Target ◽

Cognitive Mechanisms ◽

Foveal Vision ◽

Subsequent Behavior ◽

High Level

AbstractHumans and other primates are equipped with a foveated visual system. As a consequence, we reorient our fovea to objects and targets in the visual field that are conspicuous or that we consider relevant or worth looking at. These reorientations are achieved by means of saccadic eye movements. Where we saccade to depends on various low-level factors such as a targets’ luminance but also crucially on high-level factors like the expected reward or a targets’ relevance for perception and subsequent behavior. Here, we review recent findings how the control of saccadic eye movements is influenced by higher-level cognitive processes. We first describe the pathways by which cognitive contributions can influence the neural oculomotor circuit. Second, we summarize what saccade parameters reveal about cognitive mechanisms, particularly saccade latencies, saccade kinematics and changes in saccade gain. Finally, we review findings on what renders a saccade target valuable, as reflected in oculomotor behavior. We emphasize that foveal vision of the target after the saccade can constitute an internal reward for the visual system and that this is reflected in oculomotor dynamics that serve to quickly and accurately provide detailed foveal vision of relevant targets in the visual field.

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