diplomski rad (sveučilišni)
Hard physical work in the vineyard can have a negative impact for human health. Within the HEKTOR project, a system was developed for monitoring and performing work in the vineyard with the help of autonomous robots - unmanned aerial vehicle and a mobile manipulator. In order to locate the mobile robot in case of failure or jamming, an algorithm for detecting and finding the VIV mobile robot in a steep vineyard was developed in this thesis. Different detection methods were tested and finally neural network detection was selected. A dataset with VIV images was created and a YOLOv5 deep convolutional neural network was trained for detection on that data set. The network gives very good results, correctly detecting the robot in most cases with a high level of confidence (>=0.65) on unseen data. This makes it easy to find the mobile robot in the vineyard. In the future, a more efficient method of searching vineyards can be implemented and the dataset can be expanded to make neural network even more robust.
HEKTOR ; VIV ; object detection ; neural network ; vineyard ; UAV
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