SAVIPS: Uma Infraestrutura Veicular Autônoma em Pequena Escala para ADAS

Traffic accidents are a leading cause of global mor tality, with 1.35 million fatalities and 50 million injuries annually, mainly due to human error, such as recklessness and alcohol use. This paper presents SAVIPS, a small-scale autonomous vehicle infrastructure to test Advanced Driver Assistance Systems (ADAS), enabling the validation of safety features without the costs and risks of full-scale vehicle testing. The infrastructure integrates speed sensors, cameras, and communication modules for real-time evaluation. Despite limitations in results, such as 14-hour battery life and ±3 degrees lateral control accuracy, they validate component efficiency. Intra-vehicle communication used 0.309% of the CAN bus capacity, and inter-vehicle com munication showed high reliability, with one packet lost per 250 transmitted. These results highlight the potential of scaled models in advancing autonomous technologies and improving road safety.

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Publication Details

Published
2024-11-28
DOI
https://doi.org/10.5753/ssv.2024.32622
Citations
1
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
Field-Weighted Citation Impact
0.20
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article

SAVIPS: Uma Infraestrutura Veicular Autônoma em Pequena Escala para ADAS

Abel Guilhermino da Silva Filho, A. Coelho
1 citations
Autonomous Vehicle Technology and Safety
0.20
article

SAVIPS: Uma Infraestrutura Veicular Autônoma em Pequena Escala para ADAS

Abel Guilhermino da Silva Filho, A. Coelho
article en
1 citations

Abstract

Traffic accidents are a leading cause of global mor tality, with 1.35 million fatalities and 50 million injuries annually, mainly due to human error, such as recklessness and alcohol use. This paper presents SAVIPS, a small-scale autonomous vehicle infrastructure to test Advanced Driver Assistance Systems (ADAS), enabling the validation of safety features without the costs and risks of full-scale vehicle testing. The infrastructure integrates speed sensors, cameras, and communication modules for real-time evaluation. Despite limitations in results, such as 14-hour battery life and ±3 degrees lateral control accuracy, they validate component efficiency. Intra-vehicle communication used 0.309% of the CAN bus capacity, and inter-vehicle com munication showed high reliability, with one packet lost per 250 transmitted. These results highlight the potential of scaled models in advancing autonomous technologies and improving road safety.

Industry, innovation and infrastructure
Openalex Percentile: Top 46%
Autonomous Vehicle Technology and Safety
0.20
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