TurtleBot Mobile Robotics Project

📌 Project Overview

This project focuses on developing a lane detection and autonomous navigation system for a TurtleBot using camera-based vision processing. The primary objective is to utilize image filtering and computer vision techniques to detect lane markings, navigate within predefined paths, and ensure obstacle avoidance.

🚀 Features

• Lane Detection: Uses computer vision to detect lanes on the road.
• Edge and Color Filtering: Filters out unnecessary details to extract relevant lane markings.
• Autonomous Navigation: Uses processed vision data to control TurtleBot movement.
• Obstacle Detection: Identifies and avoids obstacles in the robot's path.

🛠 Technologies Used

• Hardware:
  • TurtleBot 3 (Burger)
  • Camera Sensor
  • Microcontroller
• Software & Frameworks:
  • Robot Operating System (ROS Noetic)
  • Python

🔧 Installation & Setup

1️⃣ Prerequisites

• Ubuntu 20.04 LTS (or ROS-compatible OS)
• ROS Noetic installed (ros-noetic-desktop-full)
• Dependencies:

  sudo apt update && sudo apt upgrade -y
  sudo apt install ros-noetic-cv-bridge ros-noetic-image-transport -y

• Clone the project repository:

  git clone https://github.com/yourusername/turtlebot_project.git
  cd turtlebot_project

2️⃣ Running the TurtleBot

roslaunch turtlebot_bringup minimal.launch

📖 Usage

• Start Camera Streaming:
• Run Lane Detection Algorithm:
• Move the Robot Based on Processed Image Data:

🏆 Contributors

• [Yulia Isaeva]
• [Jonathan Lowrie]