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...
محفوظ في:
| المؤلفون الرئيسيون: | , , , |
|---|---|
| التنسيق: | Livre numérique |
| اللغة: | Anglais |
| منشور في: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| الطبعة: | 1st ed. 2011. |
| سلاسل: | Springer Tracts in Advanced Robotics
72 |
| الوصول للمادة أونلاين: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| ملاحظة: |
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 |
جدول المحتويات:
- Part I Random Finite Sets Why Random Finite Sets? Estimation with Random Finite Sets Part II Random Finite Set Based Robotic Mapping An RFS Theoretic for Bayesian Feature-Based Robotic Mapping An RFS Brute Force Formulation for Bayesian SLAM Rao-Blackwellised RFS Bayesian SLAM Extensions with RFSs in SLAM