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.
Beagleboard, Opencv, Image Processing, Autonomous Vehicle.
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
Kumaran S , Abishek S , Dhakshaya G , Ramkumar R "Autonomous Path Following Car Using Beagleboard" Iconic Research And Engineering Journals, 7(4)