SIMULTANEOUS LOCALIZATION AND MAPPING: EXACTLY SPARSE INFORMATION FILTERS
暫譯: 同時定位與地圖建構：精確稀疏資訊濾波器

Zhan Wang, Shoudong Huang, Gamini Dissanayake

SIMULTANEOUS LOCALIZATION AND MAPPING: EXACTLY SPARSE INFORMATION FILTERS
  • 出版商: World Scientific Pub
  • 出版日期: 2011-06-02
  • 售價: $4,020
  • 貴賓價: 9.5 折 $3,819
  • 語言: 英文
  • 頁數: 194
  • 裝訂: Hardcover
  • ISBN: 9814350311
  • ISBN-13: 9789814350310

    • 海外代購書籍(需單獨結帳)

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商品描述

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.

商品描述(中文翻譯)

同時定位與地圖建構（SLAM）是一個過程，讓自動駕駛車輛在未知環境中建立地圖的同時，生成其位置的估計。本書關注於使用精確稀疏擴展資訊濾波器（Extended Information Filters, EIF）來解決大規模SLAM問題的計算效率解決方案。

這本寶貴的書籍還提供了基於EIF的SLAM演算法中資訊矩陣特性的全面理論分析。詳細描述了三種精確稀疏的資訊濾波器，並介紹了兩種有效且精確的方法來恢復狀態向量和協方差矩陣。所提出的演算法在模擬和實驗中都進行了廣泛的評估。

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