Autonomous Path Following Car Using Beagleboard

• Author(s): Kumaran S; Abishek S; Dhakshaya G; Ramkumar R
• Paper ID: 1705119
• Page: 194-198
• Published Date: 15-10-2023
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 7 Issue 4 October-2023

Abstract

The Phenomenal Growth of Industries Increases Import and Export Rate, So There Is an Enormous Requirement of Autonomous Vehicles. This Project Presents a Novel Approach to Achieve an Autonomous Path Following Car Using Beagleboard, A Single-Board Computer Which Works as The Central Control Unit of The Vehicle. The Objective Is to Create a Cost-Effective and Open-Source Platform for Autonomous Navigation for Various Applications. The System Consists of Beagleboard, Integrated with A Web Camera for Precise and Safe Navigation. The Output from A Web Camera Will Be Processed Through Opencv Library for Image Processing Techniques. The Beagleboard Processes the Sensor Data (Camera) And Makes Real-Time Decisions. It Can Be a Real-Time Safer Solution and Environmentally Friendly in The Future. The Results Show the Beaglebone Ai-Based Autonomous Path-Following Car's Dependability and Accuracy, Enabling It to Navigate Smoothly and Safely on A Variety of Roads.

Keywords

Beagleboard, Opencv, Image Processing, Autonomous Vehicle.

Citations

IRE Journals:
Kumaran S, Abishek S, Dhakshaya G, Ramkumar R "Autonomous Path Following Car Using Beagleboard" Iconic Research And Engineering Journals Volume 7 Issue 4 2023 Page 194-198

IEEE:
Kumaran S, Abishek S, Dhakshaya G, Ramkumar R "Autonomous Path Following Car Using Beagleboard" Iconic Research And Engineering Journals, vol. 7, no. 4, Oct. 2023

APA:
Kumaran S, Abishek S, Dhakshaya G, Ramkumar R (2023). Autonomous Path Following Car Using Beagleboard. Iconic Research And Engineering Journals, 7(4).

MLA:
Kumaran S, Abishek S, Dhakshaya G, Ramkumar R "Autonomous Path Following Car Using Beagleboard" Iconic Research And Engineering Journals, vol. 7, no. 4, Oct. 2023.

BibTeX

@article{1705119,
author = {Kumaran S, Abishek S, Dhakshaya G, Ramkumar R},
title = {Autonomous Path Following Car Using Beagleboard},
journal = {Iconic Research And Engineering Journals},
year = {2023},
volume = {7},
number = {4},
pages = {194-198},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1705119.pdf},
abstract = {The Phenomenal Growth of Industries Increases Import and Export Rate, So There Is an Enormous Requirement of Autonomous Vehicles. This Project Presents a Novel Approach to Achieve an Autonomous Path Following Car Using Beagleboard, A Single-Board Computer Which Works as The Central Control Unit of The Vehicle. The Objective Is to Create a Cost-Effective and Open-Source Platform for Autonomous Navigation for Various Applications. The System Consists of Beagleboard, Integrated with A Web Camera for Precise and Safe Navigation. The Output from A Web Camera Will Be Processed Through Opencv Library for Image Processing Techniques. The Beagleboard Processes the Sensor Data (Camera) And Makes Real-Time Decisions. It Can Be a Real-Time Safer Solution and Environmentally Friendly in The Future. The Results Show the Beaglebone Ai-Based Autonomous Path-Following Car's Dependability and Accuracy, Enabling It to Navigate Smoothly and Safely on A Variety of Roads.},
keywords = {Beagleboard, Opencv, Image Processing, Autonomous Vehicle.},
month = {October}
}