5 papers · 1 filter
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…
Lameness detection in dairy cows using pose estimation and bidirectional LSTMs
Helena Russello, Rik van der Tol, Eldert J. van Henten +1
This study presents a lameness detection approach that combines pose estimation and Bidirectional Long-Short-Term Memory (BLSTM) neural networks. Combining pose-estimation and BLST…
Video-based automatic lameness detection of dairy cows using pose estimation and multiple locomotion traits
Helena Russello, Rik van der Tol, Menno Holzhauer +2
This study presents an automated lameness detection system that uses deep-learning image processing techniques to extract multiple locomotion traits associated with lameness. Using…
SSL-NBV: A Self-Supervised-Learning-Based Next-Best-View algorithm for Efficient 3D Plant Reconstruction by a Robot
Jianchao Ci, Eldert J. van Henten, Xin Wang +2
The 3D reconstruction of plants is challenging due to their complex shape causing many occlusions. Next-Best-View (NBV) methods address this by iteratively selecting new viewpoints…
Improved detection of discarded fish species through BoxAL active learning
Maria Sokolova, Pieter M. Blok, Angelo Mencarelli +3
In recent years, powerful data-driven deep-learning techniques have been developed and applied for automated catch registration. However, these methods are dependent on the labelle…