ICRA 2020 Presentation - Visual-Servoing based Navigation for Monitoring Row-Crop Fields

In this project, we propose a framework tailored for navigation in row-crop fields by exploiting the regular crop-row structure present in the fields. Our approach uses only the images from on-board cameras without the need for performing explicit localization or maintaining a map of the field. It allows the robot to follow the crop-rows accurately and handles the switch to the next row seamlessly within the same framework. We implemented our approach using C ++ and ROS and thoroughly tested it in several simulated environments with different shapes and sizes of field Code on Github:

[Deanmonnn]

That's a amazing project ! I am working on Autonomous Sprayer and your project and article will be reference for me :)