43 citations · 73 across the 4 of their papers we have counts for
4 papers
Tree-SLAM: semantic object SLAM for efficient mapping of individual trees in orchards
David Rapado-Rincon, Gert Kootstra
Accurate mapping of individual trees is an important component for precision agriculture in orchards, as it allows autonomous robots to perform tasks like targeted operations or in…
MOT-DETR: 3D Single Shot Detection and Tracking with Transformers to build 3D representations for Agro-Food Robots
David Rapado-Rincon, Henk Nap, Katarina Smolenova +2
In the current demand for automation in the agro-food industry, accurately detecting and localizing relevant objects in 3D is essential for successful robotic operations. However,…
Semantics-Aware Next-best-view Planning for Efficient Search and Detection of Task-relevant Plant Parts
Akshay K. Burusa, Joost Scholten, David Rapado Rincon +3
Searching and detecting the task-relevant parts of plants is important to automate harvesting and de-leafing of tomato plants using robots. This is challenging due to high levels o…
Development and evaluation of automated localisation and reconstruction of all fruits on tomato plants in a greenhouse based on multi-view perception and 3D multi-object tracking
David Rapado Rincon, Eldert J. van Henten, Gert Kootstra
The ability to accurately represent and localise relevant objects is essential for robots to carry out tasks effectively. Traditional approaches, where robots simply capture an ima…