Aarhus Universitets segl

UAV-Supported Route Planning for UGVs in Semi-Deterministic Agricultural Environments

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  • Dimitrios Katikaridis, Center For Research And Technology - Hellas, University of Thessaly
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  • Vasileios Moysiadis, Center For Research And Technology - Hellas, University of Thessaly
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  • Naoum Tsolakis, Center For Research And Technology - Hellas, International Hellenic University
  • ,
  • Patrizia Busato, University of Turin
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  • Dimitrios Kateris, Center For Research And Technology - Hellas
  • ,
  • Simon Pearson, Lincoln University
  • ,
  • Claus Grøn Sørensen
  • Dionysis Bochtis

Automated agricultural operations must be planned and organized to reduce risk and failure potential while optimizing productivity and efficiency. However, the diversity of natural outdoor environments and the varied data types and volumes required to represent an agricultural setting comprise critical challenges for the deployment of fully automated agricultural operations. In this regard, this study develops an integrated system for enabling an unmanned aerial vehicle (UAV) supported route planning system for unmanned ground vehicles (UGVs) in the semi-structured environment of orchards. The research focus is on the underpinning planning system components (i.e., world representation or map generation or perception and path planning). In particular, the system comprises a digital platform that receives as input a geotagged depiction of an orchard, which is obtained by a UAV. The pre-processed data define the agri-field’s tracks that are transformed into a grid-based map capturing accessible areas. The grid map is then used to generate a topological path planning solution. Subsequently, the solution is translated into a sequence of coordinates that define the calculated optimal path for the UGV to traverse. The applicability of the developed system was validated in routing scenarios in a walnuts’ orchard using a UGV. The contribution of the proposed system entails noise reduction techniques for the accurate representation of a semi-deterministic agricultural environment for enabling accuracy in the route planning of utilized automated machinery.

Antal sider17
StatusUdgivet - aug. 2022

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