1 citations · 1 across the 3 of their papers we have counts for
3 papers
Enhancing annotations for 5D apple pose estimation through 3D Gaussian Splatting (3DGS)
Robert van de Ven, Trim Bresilla, Bram Nelissen +3
Automating tasks in orchards is challenging because of the large amount of variation in the environment and occlusions. One of the challenges is apple pose estimation, where key po…
DualLQR: Efficient Grasping of Oscillating Apples using Task Parameterized Learning from Demonstration
Robert van de Ven, Ard Nieuwenhuizen, Eldert J. van Henten +1
Learning from Demonstration offers great potential for robots to learn to perform agricultural tasks, specifically selective harvesting. One of the challenges is that the target fr…
From Seedling to Harvest: The GrowingSoy Dataset for Weed Detection in Soy Crops via Instance Segmentation
Raul Steinmetz, Victor A. Kich, Henrique Krever +5
Deep learning, particularly Convolutional Neural Networks (CNNs), has gained significant attention for its effectiveness in computer vision, especially in agricultural tasks. Recen…