Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Photoreceptors and Visual Pathways01:22

Photoreceptors and Visual Pathways

8.6K
At the molecular level, visual signals trigger transformations in photopigment molecules, resulting in changes in the photoreceptor cell's membrane potential. The photon's energy level is denoted by its wavelength, with each specific wavelength of visible light associated with a distinct color. The spectral range of visible light, classified as electromagnetic radiation, spans from 380 to 720 nm. Electromagnetic radiation wavelengths exceeding 720 nm fall under the infrared category,...
8.6K
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

1.8K
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
1.8K
Sight Distance in a Vertical Curve01:29

Sight Distance in a Vertical Curve

306
Sight distance on vertical curves is critical in roadway design. It ensures drivers can see far enough ahead to identify and respond to hazards effectively. This directly impacts safety, driver comfort, and the overall efficiency of the transportation network.Vertical curves are classified into crest and sag curves based on their geometry. For crest curves, sight distance is determined by the line of sight between a driver's eye and a small object on the road's surface. Design parameters for...
306
Perceptual Constancy01:12

Perceptual Constancy

1.2K
Perceptual constancy is the ability to recognize that objects remain consistent and unchanged even when their appearance varies due to changes in sensory input. There are four main types of perceptual constancy: size constancy, shape constancy, color constancy, and brightness constancy.
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...
1.2K
Visual System01:26

Visual System

1.6K
Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
1.6K
Vision01:24

Vision

59.2K
Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
59.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Evaluation of Functional Impacts of Vision Impairment: Progress, Challenges and Future Directions.

Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists)·2026
Same author

Improving Access and Reducing the Burden on Public Ophthalmology: Collaborative Telehealth Models Between Ophthalmology and Optometry in Australia.

Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists)·2026
Same author

Evaluation of a Collaborative Telehealth Model for Eye Care Between Ophthalmology and Optometry in Western Australia.

The Australian journal of rural health·2026
Same author

Small areas of damage due to glaucoma are less likely to be identified by SITA-Faster than SITA-Standard.

Optometry and vision science : official publication of the American Academy of Optometry·2026
Same author

Identifying older adults' communication support needs and preferences: a scoping review of measurement instruments.

The Gerontologist·2026
Same author

Spatial suppression of motion and motion segmentation in peripheral vision.

Journal of vision·2026

Related Experiment Video

Updated: Jan 10, 2026

Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects
11:12

Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects

Published on: September 18, 2012

17.8K

Visual motion perception and driving hazard visibility at night-time.

Catherine Kennon1, Joanne M Wood2, Philippe F Lacherez3

  • 1Centre for Vision and Eye Research, Optometry and Vision Science, Queensland University of Technology, Victoria Park Road, Kelvin Grove, Brisbane, QLD, 4059, Australia.

Scientific Reports
|November 27, 2025
PubMed
Summary
This summary is machine-generated.

Poor motion perception, especially the ability to detect small displacements, is linked to slower responses to hazards during night driving. This highlights the importance of motion perception for safe night driving performance.

Keywords:
Drifting gabor gratingsHazard perception response timesMinimum displacement thresholdsMotion perceptionMotion surround suppressionNight drivingNight hazard visibility test

More Related Videos

Binocular Dynamic Visual Acuity in Eyeglass-Corrected Myopic Patients
07:06

Binocular Dynamic Visual Acuity in Eyeglass-Corrected Myopic Patients

Published on: March 29, 2022

3.2K
Measuring the Behavioral Effects of Intraocular Scatter
05:10

Measuring the Behavioral Effects of Intraocular Scatter

Published on: February 18, 2021

3.8K

Related Experiment Videos

Last Updated: Jan 10, 2026

Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects
11:12

Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects

Published on: September 18, 2012

17.8K
Binocular Dynamic Visual Acuity in Eyeglass-Corrected Myopic Patients
07:06

Binocular Dynamic Visual Acuity in Eyeglass-Corrected Myopic Patients

Published on: March 29, 2022

3.2K
Measuring the Behavioral Effects of Intraocular Scatter
05:10

Measuring the Behavioral Effects of Intraocular Scatter

Published on: February 18, 2021

3.8K

Area of Science:

  • Vision Science
  • Ophthalmology
  • Human Factors

Background:

  • Motion perception is crucial for driving, but its role in night driving is understudied.
  • Existing research primarily links motion perception to daytime driving performance.

Purpose of the Study:

  • To investigate the association between motion perception abilities and performance on a night-time hazard visibility test.
  • To identify specific aspects of motion perception critical for night driving safety.

Main Methods:

  • Seventy licensed drivers completed four binocular motion perception tasks, including minimum displacement thresholds (Dmin).
  • Participants underwent standard visual acuity and contrast sensitivity tests under photopic and mesopic conditions.
  • Hazard response times were measured using the Night-time Hazard Visibility Test (NHVT).

Main Results:

  • Poorer motion perception thresholds across all tested tasks correlated with delayed NHVT response times.
  • In multivariate analyses, only Dmin remained a significant independent predictor of NHVT response times.
  • Individual differences in detecting small motion displacements were particularly important for night driving hazard identification.

Conclusions:

  • Motion perception, specifically the ability to discern minimal displacements, is a key factor in night driving performance.
  • These findings offer valuable insights into visual factors affecting night-time hazard detection.
  • Inter-individual variability in motion perception impacts the ability to identify moving hazards at night.