HIGHLIGHTS
SUMMARY
The proposed methods for end-row detection and maneuvering of belonging to trees inside the row. performance the row-end detection to theprobability next row were implemented as components of aThe complete orchardof navigation system, was evaluated in configurations withavine rows on the other side of the headland whichmethod was evaluated on a campus vineyard using custom-built robot. Overall, from the neighboring block rows inside the Lidar`s FOV align well with the sensor template points from the neighboring block rows inside the Lidar`s FOV align well with the sensor of the . . .
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