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David Rapado-Rincón

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.RO2
  • cs.CV1
ORCID 0000-0002-7804-1692

identity via Semantic Scholar / OpenAlex

most citedMinkSORT: A 3D deep feature extractor using sparse convolutions to improve 3D multi-object tracking in greenhouse tomato plants

11 citations · 12 across the 3 of their papers we have counts for

collaborators

3 papers

cs.RO2024★ 1 cited

A comparison between single-stage and two-stage 3D tracking algorithms for greenhouse robotics

David Rapado-Rincon, Akshay K. Burusa, Eldert J. van Henten +1

With 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…

cs.CV2023

3D Pose Estimation of Tomato Peduncle Nodes using Deep Keypoint Detection and Point Cloud

Jianchao Ci, Xin Wang, David Rapado-Rincón +2

Greenhouse production of fruits and vegetables in developed countries is challenged by labor 12 scarcity and high labor costs. Robots offer a good solution for sustainable and cost…

cs.RO2023★ 11 cited

MinkSORT: A 3D deep feature extractor using sparse convolutions to improve 3D multi-object tracking in greenhouse tomato plants

David Rapado-Rincon, Eldert J. van Henten, Gert Kootstra

The agro-food industry is turning to robots to address the challenge of labour shortage. However, agro-food environments pose difficulties for robots due to high variation and occl…

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