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Precision landing for a cargo drone
In this project, we aim at using a vision based technique to land precisely in a designated place by a drone sender or recipient.
Multicopters are recently used to deliver different types of goods in dense environments such as cities, due to their manoeuvrability and possibility for vertical take-off and landing. However, landing among high buildings may cause reflections or even loss of the GPS signal causing imprecision in the localisation of the drone, thus unprecise landing. In this project, we aim at using a vision based technique to land precisely in a designated place by a drone sender or recipient.
Specifically, the first goal of this project will be to localise and remember a take-off position of a drone for precise landing in the same place after delivery. The second task is to find a landing spot indicated on Google maps by a recipient. Thirdly, the algorithm should verify the position of obstacles on the ground such as people, cars, trees etc. and not land on them. Then, the landing performance will be validated on the prototype of the safe foldable delivery drone developed at EPFL.
Multicopters are recently used to deliver different types of goods in dense environments such as cities, due to their manoeuvrability and possibility for vertical take-off and landing. However, landing among high buildings may cause reflections or even loss of the GPS signal causing imprecision in the localisation of the drone, thus unprecise landing. In this project, we aim at using a vision based technique to land precisely in a designated place by a drone sender or recipient. Specifically, the first goal of this project will be to localise and remember a take-off position of a drone for precise landing in the same place after delivery. The second task is to find a landing spot indicated on Google maps by a recipient. Thirdly, the algorithm should verify the position of obstacles on the ground such as people, cars, trees etc. and not land on them. Then, the landing performance will be validated on the prototype of the safe foldable delivery drone developed at EPFL.
The goal of this project is to design and implement a vision based solution for precise landing in cluttered outdoor environments.
This project will be done in collaboration between two labs: Robotic and Perception Group from the University of Zurich, and Laboratory of Intelligent Systems from Ecole Polytechnique de Lausanne.
The goal of this project is to design and implement a vision based solution for precise landing in cluttered outdoor environments. This project will be done in collaboration between two labs: Robotic and Perception Group from the University of Zurich, and Laboratory of Intelligent Systems from Ecole Polytechnique de Lausanne.