Abstract:
The excessive presence of potholes on the paved roads in the state of São Paulo results in a series of problems, including traffic accidents, financial impacts, and even environmental damage. There are various solutions addressing this issue, such as visual processing, distance sensors (such as laser or ultrasonic), or response analysis using vibration. This article seeks to answer the following research question: “how to develop a low-cost embedded system based on machine learning using accelerometer and GPS capable of identifying irregularities (potholes) in road pavements?”. To achieve this, a systematic literature review is conducted, with the main result being a process based on the use of accelerometers to collect vibration and the application of artificial intelligence to identify and classify potholes on paved roads, indicating the feasibility of the process in terms of installation practicality, cost, and comparative results found in the literature. Keywords: Accelerometer, Pothole, Irregularity, SVM (Support Vector Machine), Edge Computing, ThingsBoard, Internet of Things, Automatic Pothole Detection.
Referência:
GONÇALVES, Igor; GAVA, Vagner Luiz; CAVALCANTE, Douglas Bellomo. Identificação de buracos em vias pavimentadas utilizando acelerômetro: uma revisão sistemática. In: INTERNATIONAL CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGY MANAGEMENT, CONTECSI, 20., 2024, São Paulo. Proceedings… 31 p.
GONÇALVES, Igor; GAVA, Vagner Luiz; CAVALCANTE, Douglas Bellomo. Identificação de buracos em vias pavimentadas utilizando acelerômetro: uma revisão sistemática. In: INTERNATIONAL CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGY MANAGEMENT, CONTECSI, 20., 2024, São Paulo. Lecture and Abstract…
Acesso ao trabalho e resumo apresentada no Evento:
https://www.tecsi.org/contecsi/index.php/contecsi/20thCONTECSI/paper/view/7295/4823
