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:
https://github.com/PRBonn/visual-crop-row-navigation
visualservoing,robotics,IPB,cyrill Stachniss,Alireza ahmadi,Nived Chebrolu,Lorenzo Nardi,husky,field robotics,agricultural robotics,line following,vegetation mask,arduino,IMU,gps,lidar
