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Selected papers from the 2nd International Symposium on UAVs, Reno, U.S.A. June 8-10, 2009 (Paperback, 2010 ed.) Loot Price: R5,497
Discovery Miles 54 970
Selected papers from the 2nd International Symposium on UAVs, Reno, U.S.A. June 8-10, 2009 (Paperback, 2010 ed.): Kimon P....

Selected papers from the 2nd International Symposium on UAVs, Reno, U.S.A. June 8-10, 2009 (Paperback, 2010 ed.)

Kimon P. Valavanis, Randal Beard, Paul Oh, Anibal Ollero, Leslie A. Piegl, Hayong Shin

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Loot Price R5,497 Discovery Miles 54 970 | Repayment Terms: R515 pm x 12*

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In the last decade, signi?cant changes have occurred in the ?eld of vehicle motion planning, and for UAVs in particular. UAV motion planning is especially dif?cult due to several complexities not considered by earlier planning strategies: the - creased importance of differential constraints, atmospheric turbulence which makes it impossible to follow a pre-computed plan precisely, uncertainty in the vehicle state, and limited knowledge about the environment due to limited sensor capabilities. These differences have motivated the increased use of feedback and other control engineering techniques for motion planning. The lack of exact algorithms for these problems and dif?culty inherent in characterizing approximation algorithms makes it impractical to determine algorithm time complexity, completeness, and even soundness. This gap has not yet been addressed by statistical characterization of experimental performance of algorithms and benchmarking. Because of this overall lack of knowledge, it is dif?cult to design a guidance system, let alone choose the algorithm. Throughout this paper we keep in mind some of the general characteristics and requirements pertaining to UAVs. A UAV is typically modeled as having velocity and acceleration constraints (and potentially the higher-order differential constraints associated with the equations of motion), and the objective is to guide the vehicle towards a goal through an obstacle ?eld. A UAV guidance problem is typically characterized by a three-dimensional problem space, limited information about the environment, on-board sensors with limited range, speed and acceleration constraints, and uncertainty in vehicle state and sensor data.

General

Imprint: Springer
Country of origin: Netherlands
Release date: November 2014
First published: 2010
Editors: Kimon P. Valavanis • Randal Beard • Paul Oh • Anibal Ollero • Leslie A. Piegl • Hayong Shin
Dimensions: 235 x 155 x 27mm (L x W x T)
Format: Paperback
Pages: 529
Edition: 2010 ed.
ISBN-13: 978-9400791589
Categories: Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory
Books > Professional & Technical > Technology: general issues > Technical design > General
Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN: 9400791585
Barcode: 9789400791589

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