Robust computer-vision based construction site detection for assistive-technology applications

The system can reliably detect construction sites in real time and at sufficient distances to provide advance warnings, enabling individuals with visual impairments to make safer mobility decisions, such as proceeding with caution or rerouting.

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Publication Details

Journal
Disability and Rehabilitation Assistive Technology
Published
2026-02-01
DOI
https://doi.org/10.1080/17483107.2026.2618130
Primary Topic
Occupational Health and Safety Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Robust computer-vision based construction site detection for assistive-technology applications

Jiuling Zhong, Mahya Beheshti, Nikhil Ballem, Junchi Feng et al.
Disability and Rehabilitation Assistive Technology
Occupational Health and Safety Research
article

Robust computer-vision based construction site detection for assistive-technology applications

Jiuling Zhong, Mahya Beheshti, Nikhil Ballem, Junchi Feng, John-Ross Rizzo, Maurizio Porfiri, Yifei Wang, Giles Hamilton-Fletcher, Michael Batavia
article en

Abstract

The system can reliably detect construction sites in real time and at sufficient distances to provide advance warnings, enabling individuals with visual impairments to make safer mobility decisions, such as proceeding with caution or rerouting.

Disability and Rehabilitation Assistive Technology
New York University (US)
Sustainable cities and communities
Openalex Percentile: Top 71%
Occupational Health and Safety Research
DOIOpen Access PDFOpenAlex
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Robust computer-vision based construction site detection for assistive-technology applications — Jiuling Zhong, Mahya Beheshti, et al. · Disability and Rehabilitation Assistive Technology (2026) | TGRS Research Map | TGRS