Safer Stack: Safe Dump of Off-Highways Trucks in Slope Crest Windrows

During operation, the dump truck sometimes needs to operate close to a slope crest windrow. This article aims to present the experimentation of a system, called Safer Stack, to assist the dump truck operator when reversing in front of a slope crest windrow, with the purpose of informing him the safe distance to perform the dump and generating alerts when there is a risk. The system includes computer vision, through image recognition, and distance measurement, through a LiDAR. The information will be used in a graphical interface, with visual alerts and audible alarms for the dump truck operator. Based on the tests carried out, it was confirmed that the combination of technologies in a final solution, since it presented 98% accuracy in the trained scenarios, has the potential to generate highly efficient results and make the operation safer.

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Publication Details

Journal
Revista de Informática Teórica e Aplicada
Published
2025-02-20
DOI
https://doi.org/10.22456/2175-2745.143633
Primary Topic
Soil Mechanics and Vehicle Dynamics
Type
article
Field-Weighted Citation Impact
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article

Safer Stack: Safe Dump of Off-Highways Trucks in Slope Crest Windrows

Lorrainy Rembiski Delfino, Jaquelini Kumm, Fabiana Zambroni Neves, Allan Lorenzoni Canal et al.
Revista de Informática Teórica e Aplicada
Soil Mechanics and Vehicle Dynamics
article

Safer Stack: Safe Dump of Off-Highways Trucks in Slope Crest Windrows

Lorrainy Rembiski Delfino, Jaquelini Kumm, Fabiana Zambroni Neves, Allan Lorenzoni Canal, Gabriel Flausino de Souza, Yargo Alves Sampaio, Marina Cunha Galvão de França, Marcus Ventura
article en

Abstract

During operation, the dump truck sometimes needs to operate close to a slope crest windrow. This article aims to present the experimentation of a system, called Safer Stack, to assist the dump truck operator when reversing in front of a slope crest windrow, with the purpose of informing him the safe distance to perform the dump and generating alerts when there is a risk. The system includes computer vision, through image recognition, and distance measurement, through a LiDAR. The information will be used in a graphical interface, with visual alerts and audible alarms for the dump truck operator. Based on the tests carried out, it was confirmed that the combination of technologies in a final solution, since it presented 98% accuracy in the trained scenarios, has the potential to generate highly efficient results and make the operation safer.

Revista de Informática Teórica e AplicadaVol. 32(1)
Digital Science (United States) (US)
Openalex Percentile: Top 97%
Soil Mechanics and Vehicle Dynamics
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