Autonomous Path Following Car Using Beagleboard

@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},
  }