EyeTruck: Collision Prevention System for Viaducts and Bridges

This article presents EyeTruck, an embedded system designed to prevent truck collisions with viaducts and bridges resulting from excessive height. The objectives of this project are to detect R-15 signs, extract the maximum permitted height, and compare it with the vehicle's registered height to warn the driver. The methodology involves quantitative, documentary research, using secondary data such as news reports and sectoral studies to contextualize the problem, as well as tests in controlled environments with the prototype for functional validation. The issue addressed concerns recurrent height-related accidents that pose risks and costs to infrastructure, as indicated by public and sectoral surveys. The main findings show that, in a controlled environment, the prototype identified the R-15 sign with high confidence, correctly extracted the height value, and issued alerts when the limit was exceeded, indicating technical feasibility. Application in real-world scenarios depends on expanding the image database and conducting field tests.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-10
DOI
https://doi.org/10.5281/zenodo.20043110
Primary Topic
Infrastructure Maintenance and Monitoring
Type
article
Field-Weighted Citation Impact
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article

EyeTruck: Collision Prevention System for Viaducts and Bridges

Rafael Ferreira Lopes, Salomão Santana, Murillo Castro De Jesus, Vitor Daisuke Iwamoto et al.
Zenodo (CERN European Organization for Nuclear Research)
Infrastructure Maintenance and Monitoring
article

EyeTruck: Collision Prevention System for Viaducts and Bridges

Rafael Ferreira Lopes, Salomão Santana, Murillo Castro De Jesus, Vitor Daisuke Iwamoto, Vinicius Rafael Bomfim Rodrigues
article en

Abstract

This article presents EyeTruck, an embedded system designed to prevent truck collisions with viaducts and bridges resulting from excessive height. The objectives of this project are to detect R-15 signs, extract the maximum permitted height, and compare it with the vehicle's registered height to warn the driver. The methodology involves quantitative, documentary research, using secondary data such as news reports and sectoral studies to contextualize the problem, as well as tests in controlled environments with the prototype for functional validation. The issue addressed concerns recurrent height-related accidents that pose risks and costs to infrastructure, as indicated by public and sectoral surveys. The main findings show that, in a controlled environment, the prototype identified the R-15 sign with high confidence, correctly extracted the height value, and issued alerts when the limit was exceeded, indicating technical feasibility. Application in real-world scenarios depends on expanding the image database and conducting field tests.

Zenodo (CERN European Organization for Nuclear Research)
São Paulo State Technological College (BR)
Industry, innovation and infrastructure
Openalex Percentile: Top 7%
Infrastructure Maintenance and Monitoring
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EyeTruck: Collision Prevention System for Viaducts and Bridges — Rafael Ferreira Lopes, Salomão Santana, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS