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Vision-based multi-UAV position estimation

This paper describes a method for vision-based unmanned aerial vehicle (UAV) motion estimation from multiple planar homographies. The paper also describes the determination of the relative displacement between different UAVs employing techniques for blob feature extraction and matching. It then pres...

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Published in:IEEE robotics & automation magazine 2006-09, Vol.13 (3), p.53-62
Main Authors: Merino, L., Wiklund, J., Caballero, F., Moe, A., De Dios, J.R.M., Forssen, P.-E., Nordberg, K., Ollero, A.
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cited_by cdi_FETCH-LOGICAL-c3674-f136a28d7a4c72fad7c73d588ec109272f312933c7f5ec1b1158455b3558f7b73
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container_issue 3
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container_title IEEE robotics & automation magazine
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creator Merino, L.
Wiklund, J.
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Ollero, A.
description This paper describes a method for vision-based unmanned aerial vehicle (UAV) motion estimation from multiple planar homographies. The paper also describes the determination of the relative displacement between different UAVs employing techniques for blob feature extraction and matching. It then presents and shows experimental results of the application of the proposed technique to multi-UAV detection of forest fires
doi_str_mv 10.1109/MRA.2006.1678139
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source IEEE Xplore (Online service)
subjects Application software
Applied sciences
Artificial intelligence
Automation
Blob features
Cameras
Computer science
control theory
systems
Control theory. Systems
Displacement
Exact sciences and technology
Feature extraction
Forest fires
Global Positioning System
Layout
Matching
Motion estimation
Multirobot localization
Multirobot systems
Pattern recognition. Digital image processing. Computational geometry
Robot kinematics
Robot sensing systems
Robotics
Robotics and automation
Robustness
TECHNOLOGY
TEKNIKVETENSKAP
Unmanned aerial vehicles
Vision-based localization
title Vision-based multi-UAV position estimation
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