Kniha Simultaneous Localization And Mapping: Exactly Sparse Information Filters Zhan Wang

Simultaneous Localization And Mapping: Exactly Sparse Information Filters

Jazyk: Angličtina
Vazba: Pevná
Dostupnost: Skladem u dodavatele
Odesíláme za 10-13 dnů
2 136
Simultaneous localization and mapping (SLAM) is a process where an autonomous vehicle builds a map o...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Pevná
Vydáno
2011
Stránek
208
EAN
9789814350310
ISBN
9814350311
Enbook ID
05070460
Hmotnost
461
Rozměry
157 x 235 x 16

Kompletní popis

Simultaneous localization and mapping (SLAM) is a process where an autonomous vehicle builds a map of an unknown environment while concurrently generating an estimate for its location. This book is concerned with computationally efficient solutions to the large scale SLAM problems using exactly sparse Extended Information Filters (EIF). The invaluable book also provides a comprehensive theoretical analysis of the properties of the information matrix in EIF-based algorithms for SLAM. Three exactly sparse information filters for SLAM are described in detail, together with two efficient and exact methods for recovering the state vector and the covariance matrix. Proposed algorithms are extensively evaluated both in simulation and through experiments.

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