Random finite sets for robot mapping and SLAM : new concepts in autonomous robotic map representations
Simultaneous Localisation and Map (SLAM) building algorithms, which rely on random vectors to represent sensor measurements and feature maps are known to be extremely fragile in the presence of feature detection and data association uncertainty. Therefore new concepts for autonomous map representati...
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| Hlavní autoři: | , , , |
|---|---|
| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Vydání: | 1st ed. 2011. |
| Edice: | Springer Tracts in Advanced Robotics
72 |
| On-line přístup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Poznámka: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Random Finite Sets for Robot Mapping and SLAM, Texte imprimé, 9783642213892 • Random finite sets for robot mapping and SLAM, new concepts in autonomous robotic map representations, John Mullane, Ba-Ngu Vo, Martin Adams... [et al.], 1st edition 2011, 2013, Berlin, Springer, 1 vol. (XXIV-146 p.), Springer tracts in advanced robotics, 978-3-642-26831-1 • Random Finite Sets for Robot Mapping & SLAM, Texte imprimé, 9783642213892 • Random Finite Sets for Robot Mapping & SLAM, Texte imprimé, 9783642213915 |