An Autonomous Robotic System for Mapping Weeds in Fields

Bidragets oversatte titel: Et autonomt robotsystem til kortlægning af ukrudt i marker

Karl Damkjær Hansen, Francisco Jose Garcia Ruiz, Wajahat Kazmi, Morten Bisgaard, Anders la Cour-Harbo, Jesper Rasmussen, Hans Jørgen Andersen

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

5 Citationer (Scopus)
1238 Downloads (Pure)

Resumé

The ASETA project develops theory and methods for robotic agricultural systems. In ASETA, unmanned aircraft and unmanned ground vehicles are used to automate the task of identifying and removing weeds in sugar beet elds. The framework for a working automatic robotic weeding system is presented along with the implemented computer vision systems.
OriginalsprogEngelsk
Titel8th IFAC Symposium on Intelligent Autonomous Vehicles, 2013
Antal sider7
Vol/bind8
ForlagElsevier
Publikationsdato2013
Sider217-224
ISBN (Trykt)978-3-902823-36-6
DOI
StatusUdgivet - 2013
BegivenhedIntelligent Autonomous Vehicles Symposium 2013 - Sofitel Hotel, Goald Coast, Australien
Varighed: 26 jun. 201328 jun. 2013
Konferencens nummer: 8

Konference

KonferenceIntelligent Autonomous Vehicles Symposium 2013
Nummer8
LokationSofitel Hotel
LandAustralien
ByGoald Coast
Periode26/06/201328/06/2013
NavnI F A C Workshop Series
ISSN1474-6670

Fingerprint

Robotics
Sugar beets
Unmanned vehicles
Ground vehicles
Computer vision
Aircraft

Emneord

  • Agriculture
  • Automation
  • Autonomous mobile robots
  • Computer vision
  • Co-operation
  • Trajectory planning

Citer dette

Hansen, K. D., Garcia Ruiz, F. J., Kazmi, W., Bisgaard, M., la Cour-Harbo, A., Rasmussen, J., & Andersen, H. J. (2013). An Autonomous Robotic System for Mapping Weeds in Fields. I 8th IFAC Symposium on Intelligent Autonomous Vehicles, 2013 (Bind 8, s. 217-224). Elsevier. I F A C Workshop Series https://doi.org/10.3182/20130626-3-AU-2035.00055
Hansen, Karl Damkjær ; Garcia Ruiz, Francisco Jose ; Kazmi, Wajahat ; Bisgaard, Morten ; la Cour-Harbo, Anders ; Rasmussen, Jesper ; Andersen, Hans Jørgen. / An Autonomous Robotic System for Mapping Weeds in Fields. 8th IFAC Symposium on Intelligent Autonomous Vehicles, 2013. Bind 8 Elsevier, 2013. s. 217-224 (I F A C Workshop Series).
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abstract = "The ASETA project develops theory and methods for robotic agricultural systems. In ASETA, unmanned aircraft and unmanned ground vehicles are used to automate the task of identifying and removing weeds in sugar beet fields. The framework for a working automatic robotic weeding system is presented along with the implemented computer vision systems.",
keywords = "Agriculture, Automation, Autonomous mobile robots, Computer vision, Co-operation, Trajectory planning",
author = "Hansen, {Karl Damkj{\ae}r} and {Garcia Ruiz}, {Francisco Jose} and Wajahat Kazmi and Morten Bisgaard and {la Cour-Harbo}, Anders and Jesper Rasmussen and Andersen, {Hans J{\o}rgen}",
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Hansen, KD, Garcia Ruiz, FJ, Kazmi, W, Bisgaard, M, la Cour-Harbo, A, Rasmussen, J & Andersen, HJ 2013, An Autonomous Robotic System for Mapping Weeds in Fields. i 8th IFAC Symposium on Intelligent Autonomous Vehicles, 2013. bind 8, Elsevier, I F A C Workshop Series, s. 217-224, Intelligent Autonomous Vehicles Symposium 2013, Goald Coast, Australien, 26/06/2013. https://doi.org/10.3182/20130626-3-AU-2035.00055

An Autonomous Robotic System for Mapping Weeds in Fields. / Hansen, Karl Damkjær; Garcia Ruiz, Francisco Jose; Kazmi, Wajahat; Bisgaard, Morten; la Cour-Harbo, Anders; Rasmussen, Jesper; Andersen, Hans Jørgen.

8th IFAC Symposium on Intelligent Autonomous Vehicles, 2013. Bind 8 Elsevier, 2013. s. 217-224 (I F A C Workshop Series).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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KW - Agriculture

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KW - Autonomous mobile robots

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KW - Co-operation

KW - Trajectory planning

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Hansen KD, Garcia Ruiz FJ, Kazmi W, Bisgaard M, la Cour-Harbo A, Rasmussen J et al. An Autonomous Robotic System for Mapping Weeds in Fields. I 8th IFAC Symposium on Intelligent Autonomous Vehicles, 2013. Bind 8. Elsevier. 2013. s. 217-224. (I F A C Workshop Series). https://doi.org/10.3182/20130626-3-AU-2035.00055