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

Simultaneous Localization And Mapping: Exactly Sparse Information Filters

Nyelv: Angol
Kötés: Kemény kötésű
Elérhetőség: Beszállítói készleten
Küldés 10-13 napon belül
35 042 Ft
Simultaneous localization and mapping (SLAM) is a process where an autonomous vehicle builds a map o...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2011
oldal
208
EAN
9789814350310
ISBN
9814350311
Enbook ID
05070460
Súly
461
Méretek
157 x 235 x 16

Teljes leírás

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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