Analysis of Machine Learning Techniques Applied to Sensory Detection of Vehicles in Intelligent Crosswalks

Analysis of Machine Learning Techniques Applied to Sensory Detection of Vehicles in Intelligent Crosswalks

Improving road safety through artificial intelligence-based systems is now crucial turning smart cities into a reality. Under this highly relevant and extensive heading, an approach is proposed to improve vehicle detection in smart crosswalks using machine learning models. Contrarily to classic fuzz...

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Bibliographic Details
Main Authors: José Manuel Lozano Domínguez, Faroq Al-Tam, Tomás de J. Mateo Sanguino, Noélia Correia
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Sensors
Subjects:
smart road safety
pedestrian crossings accidents
vehicle detection
machine learning
time series forecasting
Online Access:https://www.mdpi.com/1424-8220/20/21/6019

Internet

https://www.mdpi.com/1424-8220/20/21/6019

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