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Obstacle Avoidance and Voice Control for Autonomous Car
Subject area: Science,Engineering and Technology · Area of research: Artificial Intelligence and Internet of Things
DOI: https://doi.org/10.64388/IREV9I8-1714228
Abstract
This paper presents a voice-controlled, obstacle-avoiding car system designed to enhance accessibility and safety in transportation. The system uses an Arduino UNO microcontroller interfaced with a Bluetooth module to receive voice commands from an Android application. These commands are processed to drive DC motors via an L298D motor driver. Obstacle detection is achieved using ultrasonic sensors, allowing the car to avoid collisions autonomously. This innovation can aid differently-abled individuals, support operations in hazardous environments, and promote hands-free vehicle control. Future enhancements include integration with IoT and AI to enable global remote access and intelligent navigation, making it a significant step toward smart and inclusive mobility solutions.
How to cite this paper
@article{1714228,
author = {Annwesh Hazra, Siddhartha Sen},
title = {Obstacle Avoidance and Voice Control for Autonomous Car},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {8},
pages = {617-624},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1714228.pdf},
abstract = {This paper presents a voice-controlled, obstacle-avoiding car system designed to enhance accessibility and safety in transportation. The system uses an Arduino UNO microcontroller interfaced with a Bluetooth module to receive voice commands from an Android application. These commands are processed to drive DC motors via an L298D motor driver. Obstacle detection is achieved using ultrasonic sensors, allowing the car to avoid collisions autonomously. This innovation can aid differently-abled individuals, support operations in hazardous environments, and promote hands-free vehicle control. Future enhancements include integration with IoT and AI to enable global remote access and intelligent navigation, making it a significant step toward smart and inclusive mobility solutions.},
month = {February},
doi = {https://doi.org/10.64388/IREV9I8-1714228}
}