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Loading...Introduction to Autonomous Navigation Systems
Autonomous navigation systems are a crucial component of modern robotics, enabling robots to navigate and interact with their environment safely and efficiently. In this article, we will explore the implementation of autonomous navigation systems using ROS 2 Foxy and OpenCV 4.7.
Setting Up the Environment
To get started, you will need to install ROS 2 Foxy and OpenCV 4.7 on your system. You can do this by running the following commands:
sudo apt update
sudo apt install ros-foxy-desktop
sudo apt install libopencv-dev
Once you have installed the necessary packages, you can create a new ROS 2 package using the following command:
colcon build --packages-up-to my_navigation_package
Implementing Computer Vision with OpenCV 4.7
OpenCV 4.7 provides a wide range of computer vision algorithms that can be used for tasks such as object detection, tracking, and recognition. To implement computer vision in your autonomous navigation system, you will need to install the OpenCV 4.
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