3 papers
cs.CV2025
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…
cs.RO2024
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…
cs.CV2024
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…