Efficient Task Scheduling Algorithm Using FreeRTOS for Autonomous Vehicles: Enhanced Safety and Adaptive Features

A. Ravi, P. Veena, R. Jeyabharath, P. Prasanth, S. Sathya Ayanar, N. Mathivathanan

2025

Abstract

The research aims to develop an intelligent autonomous vehicle system using multi-sensor integration and real-time data processing in enhancement of road safety and efficiency in navigation. The system uses IoT-based weather monitoring through rain and temperature sensors, vibration and gyroscope sensors for detection of road anomalies as well as ESP32CAM for real-time obstacle identification. Free RTOS manages sensor data processing and task execution, which means adaptive responses in braking, steering, and speed control. IoT-based sensors adjust the navigation based on road friction. Vibration and gyroscope sensors detect potholes and slippery surfaces. ESP32CAM will ensure real-time detection of obstacles, including pedestrians and animals, at a range of 3-4 meters. Testing showed a 95% success rate in detecting road irregularities and 3-4 meters in detecting obstacles with a reduced 25% response time. Live weather information provides real-time adjustments to navigation to increase both safety and comfort. The design is robust and adaptable to challenges posed by urban environments thanks to multisensory technologies and real-time data for precision and safety in operation. Future work can benefit from vehicular decision-making, range prediction, and performance improvements.

Paper Citation

in Harvard Style

Ravi A., Veena P., Jeyabharath R., Prasanth P., Ayanar S. and Mathivathanan N. (2025). Efficient Task Scheduling Algorithm Using FreeRTOS for Autonomous Vehicles: Enhanced Safety and Adaptive Features. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 215-223. DOI: 10.5220/0013895700004919

in Bibtex Style

@conference{icrdicct`2525,
author={A. Ravi and P. Veena and R. Jeyabharath and P. Prasanth and S. Ayanar and N. Mathivathanan},
title={Efficient Task Scheduling Algorithm Using FreeRTOS for Autonomous Vehicles: Enhanced Safety and Adaptive Features},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={215-223},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013895700004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Efficient Task Scheduling Algorithm Using FreeRTOS for Autonomous Vehicles: Enhanced Safety and Adaptive Features
SN - 978-989-758-777-1
AU - Ravi A.
AU - Veena P.
AU - Jeyabharath R.
AU - Prasanth P.
AU - Ayanar S.
AU - Mathivathanan N.
PY - 2025
SP - 215
EP - 223
DO - 10.5220/0013895700004919
PB - SciTePress