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- Vardas, Panos E., et al.
(författare)
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Orientações para pacing cardíaco e terapia deressincronização cardíaca
- 2008
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Ingår i: Revista portuguesa de cardiologia : orgão oficial da Sociedade Portuguesa de Cardiologia = Portuguese journal of cardiology : an official journal of the Portuguese Society of Cardiology. - 0870-2551. ; 27:5, s. 639-687
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Tidskriftsartikel (refereegranskat)
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- Ollero, Anibal, et al.
(författare)
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Multiple Eyes in the Skies
- 2005
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Ingår i: IEEE robotics & automation magazine. - 1070-9932 .- 1558-223X. ; 12:2, s. 46-57
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Tidskriftsartikel (refereegranskat)abstract
- The management of environmental and industrial disasters, search and rescue operations, surveillance of natural scenarios, environmental monitoring, and many other field robotics applications require high mobility and the need to reach locations that are difficult to access with ground vehicles. In many cases, the use of aerial vehicles is the best way to approach the objective to get information or to deploy instrumentation. Unmanned air vehicles (UAVs) have significantly increased their flight performance and autonomous onboard processing capabilities in the last ten years. But a single aerial vehicle equipped with a large array of different sensors of various modalities is limited at any time to a single viewpoint. A team of aerial vehicles, however, can simultaneously collect information from multiple locations and exploit the information derived from multiple disparate points. Furthermore, having a team with multiple heterogeneous aerial vehicles offers additional advantages due to the possibility of beneficial complementarities of the vehicles.
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- Merino, Luis, et al.
(författare)
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Single and Multi-UAV Relative Position Estimation Based on Natural Landmarks
- 2007
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Ingår i: Advances in Unmanned Aerial Vehicles. - Netherlands : Springer. - 9781402061134 - 9781402061141 ; , s. 267-307
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Bokkapitel (populärvet., debatt m.m.)abstract
- This Chapter presents a vision-based method for unmanned aerial vehicle (UAV) motion estimation that uses as input an image motion field obtained from matches of point-like features. The Chapter enhances visionbased techniques developed for single UAV localization and demonstrates how they can be modified to deal with the problem of multi-UAV relative position estimation. The proposed approach is built upon the assumption that if different UAVs identify, using their cameras, common objects in a scene, the relative pose displacement between the UAVs can be computed from these correspondences under certain assumptions. However, although point-like features are suitable for local UAV motion estimation, finding matches between images collected using different cameras is a difficult task that may be overcome using blob features. Results justify the proposed approach.
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- Merino, Luis, et al.
(författare)
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Vision-Based Multi-UAV Position Estimation
- 2006
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Ingår i: IEEE Robotics & Automation Magazine. - 1070-9932. ; 13:3, s. 53-62
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Tidskriftsartikel (refereegranskat)abstract
- 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.
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