EyeTruck: Collision Prevention System for Viaducts and Bridges

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Main Authors: Jesus, Murillo Castro De, Lopes, Rafael Ferreira, Rodrigues, Vinicius Rafael Bomfim, Iwamoto, Vitor Daisuke, Santana, Salomão
Format: Recurso digital
Language:English
Published: Zenodo 2026
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author Jesus, Murillo Castro De
Lopes, Rafael Ferreira
Rodrigues, Vinicius Rafael Bomfim
Iwamoto, Vitor Daisuke
Santana, Salomão
author_facet Jesus, Murillo Castro De
Lopes, Rafael Ferreira
Rodrigues, Vinicius Rafael Bomfim
Iwamoto, Vitor Daisuke
Santana, Salomão
contents <p class="MsoNormal"><span>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.</span></p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_20043110
institution Zenodo
language eng
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle EyeTruck: Collision Prevention System for Viaducts and Bridges
Jesus, Murillo Castro De
Lopes, Rafael Ferreira
Rodrigues, Vinicius Rafael Bomfim
Iwamoto, Vitor Daisuke
Santana, Salomão
(4-(m-Chlorophenylcarbamoyloxy)-2-butynyl)trimethylammonium Chloride
Embedded systems
Maximum permitted height
Traffic sign recognition
Collision prevention
Sistemas embarcados
Altura máxima permitida
Reconhecimento de placas de trânsito
Prevenção de colisões
Sistemas empotrados
Reconocimiento de placas de tráfico.
Prevención de colisiones
<p class="MsoNormal"><span>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.</span></p>
title EyeTruck: Collision Prevention System for Viaducts and Bridges
topic (4-(m-Chlorophenylcarbamoyloxy)-2-butynyl)trimethylammonium Chloride
Embedded systems
Maximum permitted height
Traffic sign recognition
Collision prevention
Sistemas embarcados
Altura máxima permitida
Reconhecimento de placas de trânsito
Prevenção de colisões
Sistemas empotrados
Reconocimiento de placas de tráfico.
Prevención de colisiones
url https://doi.org/10.5281/zenodo.20043110