no code implementations • 10 Jan 2024 • Helena Russello, Rik van der Tol, Menno Holzhauer, Eldert J. van Henten, Gert Kootstra
The three most important traits were back posture measurement, head bobbing, and tracking distance.
1 code implementation • 28 Nov 2023 • Akshay K. Burusa, Eldert J. van Henten, Gert Kootstra
We propose a gradient-based NBV planner using differential ray sampling, which directly estimates the local gradient direction for viewpoint planning to overcome occlusion and improve perception.
no code implementations • 8 Nov 2023 • Jianchao Ci, Xin Wang, David Rapado-Rincón, Akshay K. Burusa, Gert Kootstra
A 21 comprehensive evaluation was conducted in a commercial greenhouse to gain insight into the 22 performance of different parts of the method.
no code implementations • 16 Jun 2023 • Akshay K. Burusa, Joost Scholten, David Rapado Rincon, Xin Wang, Eldert J. van Henten, Gert Kootstra
To automate harvesting and de-leafing of tomato plants using robots, it is important to search and detect the relevant plant parts, namely tomatoes, peduncles, and petioles.
no code implementations • 4 Nov 2022 • David Rapado Rincon, Eldert J. van Henten, Gert Kootstra
The accuracy of the representation was evaluated in a real-world environment, where successful representation and localisation of tomatoes in tomato plants were achieved, despite high levels of occlusion, with the total count of tomatoes estimated with a maximum error of 5. 08% and the tomatoes tracked with an accuracy up to 71. 47%.
no code implementations • 21 Jun 2022 • Akshay K. Burusa, Eldert J. van Henten, Gert Kootstra
We conclude that an attention mechanism for active-vision is necessary to significantly improve the quality of perception in complex agro-food environments.
3 code implementations • 13 Dec 2021 • Pieter M. Blok, Gert Kootstra, Hakim Elchaoui Elghor, Boubacar Diallo, Frits K. van Evert, Eldert J. van Henten
In our study, MaskAL was compared to a random sampling method on a broccoli dataset with five visually similar classes.
1 code implementation • 16 Apr 2021 • Helena Russello, Rik van der Tol, Gert Kootstra
On occluded data, our temporal approach outperformed the static one by up to 32. 9%, suggesting that using temporal data was beneficial for pose estimation in environments prone to occlusions, such as dairy farms.