Development of Python and C++ software for computer vision for agriculture mobile robot prototype for coffee and eucaliptus trees. Main objetive was to find a path for safe navigation of autonomous mobile robot.
OpenCV for computer vision (C++ and Python)
Pytorch for deep Learning segmentation (Unet)
ROS OS for mobile linux platforms.
Basic hardware development (project and schematics). Main processor: ESP32, wheel encoders, IMU, GPS, monocamera and stereo camera (Zedcam).
After many months of development now the prototype is on third generation.