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Dynamic Vision for Perception and Control of Motion
 
 
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Dynamic Vision for Perception and Control of Motion [Hardcover]

Ernst Dieter Dickmanns (Author)

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Book Description

1846286379 978-1846286377 April 25, 2007 1st Edition.
This book on autonomous road-following vehicles brings together twenty years of innovation in the field. The book uniquely details an approach to real-time machine vision for the understanding of dynamic scenes, viewed from a moving platform that begins with spatio-temporal representations of motion for hypothesized objects whose parameters are adjusted by well-known prediction error feedback and recursive estimation techniques.

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Editorial Reviews

From the Back Cover

The application of machine vision to autonomous vehicles is an increasingly important area of research with exciting applications in industry, defense, and transportation likely in coming decades. Dynamic Vision for Perception and Control of Motion has been written by the world's leading expert on autonomous road-following vehicles and brings together twenty years of innovation in the field by Professor Dickmanns and his colleagues at the University of the German Federal Armed Forces in Munich. The book uniquely details an approach to real-time machine vision for the understanding of dynamic scenes, viewed from a moving platform that begins with spatio-temporal representations of motion for hypothesized objects whose parameters are adjusted by well-known prediction error feedback and recursive estimation techniques. A coherent and up-to-date coverage of the subject matter is presented, with the machine vision and control aspects detailed, along with reports on the mission performance of the first vehicles using these innovative techniques built at Munich. Pointers to the future development and likely applications of this hugely important field of research are presented. Dynamic Vision for Perception and Control of Motion will be a key reference for technologists working in autonomous vehicles and mobile robotics in general who wish to access the leading research in this field, as well as researchers and students working in machine vision and dynamic control interested in one of the most interesting and promising applications of these techniques.

About the Author

From the reviewers: "Prof. Dickmanns is THE most authoritative person in the field; there is only one Dickmanns", Stephano Soatto, UCLA. "He is one of the world's leading experts in autonomous road-following vehicles, he has conducted seminal research that is 2nd to none. To win such an author is very prestiguous for Springer", Ulrich Zehmzow, Univ. Essex. Professor Dr.-Ing. Ernst D. Dickmanns has been professor at the University of the Bundeswehr (FRG Army) at Munich for over 30 years. For the last two decades he and his research group have conducted the most influential work worldwide on automous vehicles, producing seminal work on perception systems for dynamic vision. He is considered to have shaped research on autonomous vehicles and to have defined the modern field in this area.    

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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
minimal turn radius, pitch angle estimation, visual dynamic scene understanding, image sequence interpretation, dynamic object database, nonplanar regions, first pyramid level, normalized second eigenvalue, control time history, active gaze control, recursive estimation process, road traffic applications, saccadic vision, road parameters, lateral acceleration level, viewing direction control, control time histories, encasing box, technical vision systems, edge feature extraction, steering rate, nonplanar features, yaw platform, search stripes, road vehicle guidance
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Extraction of Visual Features, Efficient Extraction of Oriented Edge Features, Mapping of Planar Road Boundary, Exploiting the Idea of Gestalt, United States, Appropriate Interpretation Spaces, Global Positioning System, High-precision Visual Perception, Statistics of Photometric Properties of Images, Growth Potential of the Concept, Image Proc
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