[PDF][PDF] Performance Analysis of an Embedded System for Target Detection in Smart Crosswalks using Machine Learning.

JML Domínguez, JMC Mora, IF de Viana Gonzalez… - ICSOFT, 2022 - scitepress.org
Embedded systems with low computing resources for artificial intelligence are being a key
piece for the deployment of the Internet of Things in different areas as energy efficiency …

Design and implementation of a radar and camera-based obstacle classification system using machine-learning techniques

M Dhouioui, T Frikha - Journal of Real-Time Image Processing, 2021 - Springer
Road safety is an essential issue of modern life that must be tackled and resolved. Using AI
technology to develop autonomous vehicles and driver-assistant systems is a promising …

Hardware Implementation of Roadway Classification System in FPGA Platform

M Atibi, M Boussaa, I Atouf, A Bennis… - Smart Applications and …, 2020 - Springer
In this paper we present the implementation of a roadway classification system in the FPGA
embedded platform. This system is based on the combination of an acoustic signal …

Traffic Signal Classifier for Mobile Robot Navigation Control

A Marroquín, G Farias - … on Automation/XXV Congress of the …, 2022 - ieeexplore.ieee.org
The current computational advance allows the development of technological solutions to
everyday problems, for example, today mobile robots are used for the automated transport of …

Towards automatic evaluation of asphalt irregularity using smartphone's sensors

VMA Souza, EA Cherman, RG Rossi… - Advances in Intelligent …, 2017 - Springer
The quality of the pavement of roads and streets has significant influence in the final price of
goods and services, in the safety of pedestrians and also in the driver's comfort. Thus, the …

Classifying means of transportation using mobile sensor data

T Nick, E Coersmeier, J Geldmacher… - The 2010 International …, 2010 - ieeexplore.ieee.org
Mobile phone sensors have the ability to provide significant information about environmental
conditions as well as about different activities of persons. This paper deals with the …

Vehicle detection system for smart crosswalks using sensors and machine learning

JML Domínguez, F Al-Tam… - … Multi-Conference on …, 2021 - ieeexplore.ieee.org
Cities are transforming into smart areas thanks to several key technologies involving artificial
intelligence (AI), 5G or big data aimed at improving the lives of their inhabitants with new …

Comparison between the MFCC and DWT applied to the roadway classification

M Atibi, I Atouf, M Boussaa… - 2016 7th International …, 2016 - ieeexplore.ieee.org
Currently, in the field of road safety, research is moving towards the use of electronic driving
support systems that are capable of simulating human perception. These systems have …

Smart public transport system

RM John, F Francis, J Neelankavil… - 2014 International …, 2014 - ieeexplore.ieee.org
Time is precious in today's fast moving life. The wastage of time by waiting long time for
getting bus can be avoided by Smart Public Transportation System. Here a methodology …

ML and DL Classifications of Route Conditions Using Accelerometers and Gyroscope Sensors

I Khan, Z Ahmed - 2023 3rd International Conference on …, 2023 - ieeexplore.ieee.org
The Modern Era has undergone vast transformations in terms of automation in a wide array
of industrial applications. The Artificial Intelligence platform has revolutionized our daily lives …