| Titre : |
Multisensor attitude estimation : Fundamental Concepts and Applications |
| Type de document : |
Livre |
| Auteurs : |
Hassen Fourati, Auteur ; Djamel Eddine Belkhiat, Auteur |
| Editeur : |
New York : Taylor & Francis group |
| Année de publication : |
2017 |
| ISBN/ISSN/EAN : |
978-1-4987-4571-0 |
| Langues : |
Français (fre) |
| Index. décimale : |
696 Géodésie. Topographie. Arpentage. Photogrammétrie. Cartographie. |
| Résumé : |
There has been an increasing interest in multi-disciplinary research on multisensor attitude estimation technology driven by its versatility and diverse areas of application, such as sensor networks, robotics, navigation, video, biomedicine, etc. Attitude estimation consists of the determination of rigid bodies’ orientation in 3D space. This research area is a multilevel, multifaceted process handling the automatic association, correlation, estimation, and combination of data and information from several sources. Data fusion for attitude estimation is motivated by several issues and problems, such as data imperfection, data multi-modality, data dimensionality, processing framework, etc. While many of these problems have been identified and heavily investigated, no single data fusion algorithm is capable of addressing all the aforementioned challenges. The variety of methods in the literature focus on a subset of these issues to solve, which would be determined based on the application in hand. Historically, the problem of attitude estimation has been introduced by Grace Wahba in 1965 within the estimate of satellite attitude and aerospace applications. |
Multisensor attitude estimation : Fundamental Concepts and Applications [Livre] / Hassen Fourati, Auteur ; Djamel Eddine Belkhiat, Auteur . - New York : Taylor & Francis group, 2017. ISBN : 978-1-4987-4571-0 Langues : Français ( fre)
| Index. décimale : |
696 Géodésie. Topographie. Arpentage. Photogrammétrie. Cartographie. |
| Résumé : |
There has been an increasing interest in multi-disciplinary research on multisensor attitude estimation technology driven by its versatility and diverse areas of application, such as sensor networks, robotics, navigation, video, biomedicine, etc. Attitude estimation consists of the determination of rigid bodies’ orientation in 3D space. This research area is a multilevel, multifaceted process handling the automatic association, correlation, estimation, and combination of data and information from several sources. Data fusion for attitude estimation is motivated by several issues and problems, such as data imperfection, data multi-modality, data dimensionality, processing framework, etc. While many of these problems have been identified and heavily investigated, no single data fusion algorithm is capable of addressing all the aforementioned challenges. The variety of methods in the literature focus on a subset of these issues to solve, which would be determined based on the application in hand. Historically, the problem of attitude estimation has been introduced by Grace Wahba in 1965 within the estimate of satellite attitude and aerospace applications. |
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