Obstacle Avoidance and Voice Control for Autonomous Car

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Authors: Annwesh Hazra, Siddhartha Sen
Cited by: 0

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.

Fields of Study & Subjects

Arduino and IoT Applications Assistive Technology in Communication and Mobility IoT and GPS-based Vehicle Safety Systems

Publication details

Journal / source
Iconic Research and Engineering Journals
Volume
9
Issue
8
Publication date
13 February 2026
Language
EN