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Visibility-Based Optimal Path and Motion Planning by Paul Keng-Chieh Wang: New

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Specificaties

Objectstaat
Nieuw: Een nieuw, ongelezen en ongebruikt boek in perfecte staat waarin geen bladzijden ontbreken of ...
Book Title
Visibility-Based Optimal Path and Motion Planning
Publication Date
2014-08-27
Pages
198
ISBN
9783319097787
Subject Area
Computers, Technology & Engineering, Mathematics
Publication Name
Visibility-Based Optimal Path and Motion Planning
Publisher
Springer International Publishing A&G
Item Length
9.3 in
Subject
Engineering (General), Intelligence (Ai) & Semantics, Electrical, Computer Vision & Pattern Recognition, Optimization
Publication Year
2014
Series
Studies in Computational Intelligence Ser.
Type
Textbook
Format
Hardcover
Language
English
Author
Paul Keng-Chieh Wang
Item Weight
17 Oz
Item Width
6.1 in
Number of Pages
VIII, 198 Pages

Over dit product

Product Information

This monograph deals with various visibility-based path and motion planning problems motivated by real-world applications such as exploration and mapping planetary surfaces, environmental surveillance using stationary or mobile robots, and imaging of global air/pollutant circulation. The formulation and solution of these problems call for concepts and methods from many areas of applied mathematics including computational geometry, set-covering, non-smooth optimization, combinatorial optimization and optimal control. Emphasis is placed on the formulation of new problems and methods of approach to these problems. Since geometry and visualization play important roles in the understanding of these problems, intuitive interpretations of the basic concepts are presented before detailed mathematical development. The development of a particular topic begins with simple cases illustrated by specific examples, and then progresses forward to more complex cases. The intended readers of this monograph are primarily students and researchers in engineering, computer science and applied mathematics. An understanding of the mathematical development of the main results requires only basic knowledge of mathematical analysis, control, and optimization theories. Some exercises with various degrees of difficulty are provided at the end of the main chapters. The material presented here may serve as a portion of an introductory course or seminar on visibility-based optimal path and motion planning problems with the objective of stimulating interest and further studies in this relatively new area.

Product Identifiers

Publisher
Springer International Publishing A&G
ISBN-10
3319097784
ISBN-13
9783319097787
eBay Product ID (ePID)
201709550

Product Key Features

Number of Pages
VIII, 198 Pages
Language
English
Publication Name
Visibility-Based Optimal Path and Motion Planning
Publication Year
2014
Subject
Engineering (General), Intelligence (Ai) & Semantics, Electrical, Computer Vision & Pattern Recognition, Optimization
Type
Textbook
Subject Area
Computers, Technology & Engineering, Mathematics
Author
Paul Keng-Chieh Wang
Series
Studies in Computational Intelligence Ser.
Format
Hardcover

Dimensions

Item Weight
17 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Intended Audience
Scholarly & Professional
Dewey Edition
23
Reviews
From the book reviews: "Problems related to the visibility and observation of objects and regions form the core focus of this book. ... Each chapter has a dedicated bibliography where the reader can follow up on the material presented. The book provides a wide-ranging survey of the topic of visibility and can be read with profit by both students and practitioners with a strong background in mathematics." (J. P. E. Hodgson, Computing Reviews, November, 2014)
Series Volume Number
568
Number of Volumes
1 Vol.
Illustrated
Yes
Dewey Decimal
006.37
Lc Classification Number
Q342
Table of Content
Visibility-Based Optimal Path and Motion Planning.- Mathematical Preliminaries.- Static Optimal Visibility Problems.- Visibility-based Optimal Path Planning.- Visibility-based Optimal Motion Planning.- Multiple Observer Cooperative & Non-Cooperative Optimal Motion Planning.
Copyright Date
2015

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