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Author:
Conte, Gianpaolo (Linköping University, The Institute of Technology) (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab)
Hempel, Maria (Linköping University, The Institute of Technology) (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab)
Rudol, Piotr (Linköping University, The Institute of Technology) (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab)
Lundström, David (Linköping University, The Institute of Technology) (Linköping University, Department of Management and Engineering, Fluid and Mechanical Engineering Systems)
Duranti, Simone (Linköping University, The Institute of Technology) (Linköping University, Department of Computer and Information Science, AUTTEK - Autonomous Unmanned Aerial Vehicle Research Group )
Wzorek, Mariusz (Linköping University, The Institute of Technology) (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab)
Doherty, Patrick (Linköping University, The Institute of Technology) (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab)
Title:
High Accuracy Ground Target Geo-Location Using Autonomous Micro Aerial Vehicle Platforms
Department:
Linköping University, Department of Computer and Information Science, AUTTEK - Autonomous Unmanned Aerial Vehicle Research Group
Linköping University, Department of Management and Engineering, Fluid and Mechanical Engineering Systems
Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab
Linköping University, The Institute of Technology
Publication type:
Conference paper (Refereed)
Language:
English
In:
Proceedings of the AIAA Guidance, Navigation, and Control Conference (GNC)
Publisher: AIAA
Year of publ.:
2008
URI:
urn:nbn:se:liu:diva-44657
Permanent link:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-44657
ISBN:
978-1-56347-945-8
Local ID:
77245
Subject category:
Computer Science
SVEP category:
Computer science
Abstract(en) :

This paper presents a method for high accuracy ground target localization using a Micro Aerial Vehicle (MAV) equipped with a video camera sensor. The proposed method is based on a satellite or aerial image registration technique. The target geo-location is calculated by registering the ground target image taken from an on-board video camera with a geo- referenced satellite image. This method does not require accurate knowledge of the aircraft position and attitude, therefore it is especially suitable for MAV platforms which do not have the capability to carry accurate sensors due to their limited payload weight and power resources.  The paper presents results of a ground target geo-location experiment based on an image registration technique. The platform used is a MAV prototype which won the 3rd US-European Micro Aerial Vehicle Competition (MAV07). In the experiment a ground object was localized with an accuracy of 2.3 meters from a ight altitude of 70 meters.

Available from:
2009-10-10
Created:
2009-10-10
Last updated:
2012-02-01
Statistics:
79 hits
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