FastSLAM : a scalable method for the simultaneous localization and mapping problem in robotics
This monograph describes a new family of algorithms for the simultaneous localization and mapping problem in robotics (SLAM). SLAM addresses the problem of acquiring an environment map with a roving robot, while simultaneously localizing the robot relative to this map. This problem has received enor...
Enregistré dans:
| Auteurs principaux: | , |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Édition: | 1st ed. 2007. |
| Collection: | Springer Tracts in Advanced Robotics
27 |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • FastSLAM, a scalable method for the simultaneous localization and mapping problem in robotics, Michael Montemerlo, Sebastian Thrun, 2007, Berlin, Springer, 1 volume (119 pages), Springer tracts in advanced robotics, 3-540-46399-2 |