[PDF.93so] Simultaneous Localization and Mapping: Exactly Sparse Information Filters (New Frontiers in Robotics)
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Simultaneous Localization and Mapping: Exactly Sparse Information Filters (New Frontiers in Robotics)
Zhan Wang, Shoudong Huang, Gamini Dissanayake
[PDF.bx61] Simultaneous Localization and Mapping: Exactly Sparse Information Filters (New Frontiers in Robotics)
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| #4021630 in Books | 2011-05-31 | Original language:English | PDF # 1 | 9.10 x.80 x6.30l,1.35 | File type: PDF | 208 pages||1 of 1 people found the following review helpful.| Nice introduction to the application of information filters in Simultaneous ...|By stochasticmind|Nice introduction to the application of information filters in Simultaneous Localization and Mapping. It is not an introduction to the subject but most certainly one of the authors' PhD work turned to a book. It is well written for use of graduate students working in the area. My|About the Author|Zhan Wang received the B.E. degree from the Harbin Institute of Technology, P.R.China, in 1998, and the Ph.D. degree in engineering from the University of Technology, Sydney (UTS), Australia, in 2007. He is currently a Chancellor's Postdoctoral
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 algo...
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