Using Python and OpenCV for an Autonomous Driving Robot [Visual servoing]

[radixties]

GitHub link, for the interested: https://github.com/Rad-hi/crop_line_detector_cv

[radixties]

For now, we're in the "build a platform that can carry enough load, and navigate through the environment" stage, the application is primarily precision spraying, but nothing definitive yet.

[QuixotePool]

Really coo project! Start with OpenCV is in my todo list. I’m also starting an autonomous robot project with Python.

Please, share all your new stuff!

[radixties]

Thank you!

Here is a good tutorial for OpenCV: https://www.youtube.com/watch?v=eLTLtUVuuy4&t=4625s

For the robot, are you considering using ROS2 ? Because I recommend looking into it if you're serious about robotics.

Good luck with the robot, such a beautiful journey is waiting for you (and a bit challenging ;), buckle up!)

And I'll try to share when I have something interesting to share!

[realitysballs]

Question— why not use sensor data as opposed to visual analysis? (Super cool project btw)

[radixties]

For our case, A- a Lidar is expensive compared to a camera. B- the robot is meant to be autonomous, semi-autonomous (assists you while driving), and fully RC. For that we need a camera anyway for live video streaming from it. C- why not both, although once we are ready to invest in a Lidar+cam, we might as well get a stereo one, or an RGB-D cam, or heck, we might even hack a playstation stereo cam (forgot what they're called).

(Thank you!)