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An Effective Multi-Cue Positioning System for Agricultural Robotics
2 March 2018
Marco Imperoli
Ciro Potena
Daniele Nardi
Giorgio Grisetti
Alberto Pretto
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Papers citing
"An Effective Multi-Cue Positioning System for Agricultural Robotics"
7 / 7 papers shown
Title
Accurate Crop Spraying with RTK and Machine Learning on an Autonomous Field Robot
W. M. T. D. Wijesundara
T. D. Wanigathunga
M. N. C. Waas
R. T. Hithanadura
Prof. S. R. Munasinghe
20
1
0
25 Oct 2023
PhenoBench -- A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain
J. Weyler
Federico Magistri
E. Marks
Yue Linn Chong
Matteo Sodano
Gianmarco Roggiolani
Nived Chebrolu
C. Stachniss
Jens Behley
109
33
0
07 Jun 2023
Experimental Evaluation of Visual-Inertial Odometry Systems for Arable Farming
Javier Cremona
Román Comelli
Taihú Pire
68
20
0
10 Jun 2022
Benchmark of visual and 3D lidar SLAM systems in simulation environment for vineyards
Ibrahim Hroob
Riccardo Polvara
Sergi Molina
Grzegorz Cielniak
Marc Hanheide
58
9
0
12 Jul 2021
Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution
Alberto Pretto
Stéphanie Aravecchia
Wolfram Burgard
Nived Chebrolu
C. Dornhege
...
C. Stachniss
Achim Walter
W. Winterhalter
Xiaolong Wu
Juan I. Nieto
89
93
0
08 Nov 2019
Visual Servoing-based Navigation for Monitoring Row-Crop Fields
Alireza Ahmadi
L. Nardi
Nived Chebrolu
C. Stachniss
33
58
0
27 Sep 2019
AgriColMap: Aerial-Ground Collaborative 3D Mapping for Precision Farming
Ciro Potena
R. Khanna
Juan I. Nieto
Roland Siegwart
Daniele Nardi
Alberto Pretto
53
73
0
30 Sep 2018
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