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Random Finite Sets for Robot Mapping & 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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2011.
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| Edición: | 1st ed. 2011. |
| Colección: | Springer Tracts in Advanced Robotics,
72 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- 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.