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Visual Agnosia01:12

Visual Agnosia

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Visual agnosia is a condition characterized by the inability to recognize visually presented objects despite having normal vision. For instance, a person with visual agnosia can describe the shape and color of an object but cannot identify or name it. This impairment does not affect their visual field, acuity, color vision, brightness discrimination, language, or memory. An example of this condition in a social setting is someone at a dinner party asking for "that silver thing with a round...
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Blind Procedures02:07

Blind Procedures

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Ideally, the people who observe and record the children’s behavior are unaware of who was assigned to the experimental or control group, in order to control for experimenter bias. Experimenter bias refers to the possibility that a researcher’s expectations might skew the results of the study. Remember, conducting an experiment requires a lot of planning, and the people involved in the research project have a vested interest in supporting their hypotheses. If the observers knew which...
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Design Example: Measuring Distance Between Two Points with Obstructions01:10

Design Example: Measuring Distance Between Two Points with Obstructions

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When measuring distances in areas with physical obstructions, such as a lake in a field, surveyors must employ techniques to calculate accurate lengths without direct line measurements. One effective method is the offset technique, which allows for precise distance estimation over inaccessible stretches.In this scenario, a surveyor must measure a side of an area that crosses a lake. Since the measuring tape cannot span the lake, the surveyor begins by establishing a baseline that aligns with...
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Sight Distance in a Vertical Curve01:29

Sight Distance in a Vertical Curve

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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...
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Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

550
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.
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Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

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Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
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Related Experiment Video

Updated: Jun 4, 2025

A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision
09:29

A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision

Published on: February 11, 2014

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YOLO-OD: Obstacle Detection for Visually Impaired Navigation Assistance.

Wei Wang1, Bin Jing1, Xiaoru Yu1

  • 1College of Computer Science and Technology, Changchun University, No. 6543, Satellite Road, Changchun 130022, China.

Sensors (Basel, Switzerland)
|December 17, 2024
PubMed
Summary

This study introduces YOLO-OD, an obstacle detection system designed to help visually impaired individuals navigate outdoor environments. The method enhances obstacle detection accuracy, improving safety and independence for users.

Keywords:
YOLO-ODadaptive bottleneck blockenhanced feature attention headfeature weighting blockobstacle detection

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Area of Science:

  • Computer Vision
  • Assistive Technology
  • Robotics

Background:

  • Visually impaired individuals face significant challenges in detecting and avoiding obstacles during outdoor navigation.
  • Existing visual navigation aids often struggle with diverse environmental conditions and varying obstacle sizes.

Purpose of the Study:

  • To develop an advanced obstacle detection system (YOLO-OD) for visual navigation assistance tailored for the visually impaired.
  • To enhance the detection and differentiation of obstacles, particularly in complex outdoor settings.

Main Methods:

  • Introduction of the Feature Weighting Block (FWB) to improve feature importance discrimination for varied obstacle sizes.
  • Integration of the Adaptive Bottleneck Block (ABB) to better handle cluttered environments and occlusions.
  • Proposal of the Enhanced Feature Attention Head (EFAH) to improve the detection of small obstacles.

Main Results:

  • The YOLO-OD system achieved an average precision of 30.02% on a public dataset.
  • The proposed enhancements (FWB, ABB, EFAH) contribute to improved obstacle detection capabilities.

Conclusions:

  • YOLO-OD presents a promising approach for enhancing navigation aids for the blind and visually impaired.
  • The study's findings improve model performance, increasing the practical value of visual navigation assistance.
  • Publicly available code ensures research reproducibility and encourages further development in assistive technology.