An Employing Embedded Weather System for Self-driving Vehicles

Sahar Mohammed, Hamsa Ahmed

Abstract

Throughout daily life, control of the atmosphere plays a significant part and includes understanding the atmosphere environment. This system is a compact, low-cost weather data collection device that allows data to be collected, processed, and transmitted. The proposal for a smart weather station is a weather reporting system over the local networking. Weather station system is a hardware and software program that reads the status of the weather from the real-time temperature and humidity, which is an IoT that is a wirelessly connected. The client can directly access via local IP from any device connected in the same local network. It also shows the result on the front web application, as well as supports API routes. A weather station is also a tool that uses two sensors to collect weather and environment-related data. That means we need a weather station to make weather forecasts and collect weather-related data. Climate influences the actions of the car. The efficiency of vehicles, surface traction, and road structures raise the likelihood of crashes. While automated vehicles (AVs) are already on the road, in adverse conditions, they do not function very well. High temperature leads to the driver losing control of the vehicle and a crash.

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Paper Citation


in Harvard Style

Mohammed S. and Ahmed H. (2020). An Employing Embedded Weather System for Self-driving Vehicles.In Proceedings of the 1st International Conference on Computing and Emerging Sciences - Volume 1: ICCES, ISBN 978-989-758-497-8, pages 79-85. DOI: 10.5220/0010462200790085


in Bibtex Style

@conference{icces20,
author={Sahar Mohammed and Hamsa Ahmed},
title={An Employing Embedded Weather System for Self-driving Vehicles},
booktitle={Proceedings of the 1st International Conference on Computing and Emerging Sciences - Volume 1: ICCES,},
year={2020},
pages={79-85},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010462200790085},
isbn={978-989-758-497-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Computing and Emerging Sciences - Volume 1: ICCES,
TI - An Employing Embedded Weather System for Self-driving Vehicles
SN - 978-989-758-497-8
AU - Mohammed S.
AU - Ahmed H.
PY - 2020
SP - 79
EP - 85
DO - 10.5220/0010462200790085