Real-Time Obstacle Avoidance Using Central Flow Divergence and Peripheral Flow

Language: English

Published by Forgotten Books, 2018

1528210735 / 9781528210737

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Seller: Forgotten Books, London, United KingdomForgotten Books

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Print on Demand. This book delves into the exciting field of mobile robotics and demonstrates a cutting-edge method for obstacle avoidance using real-time image processing and ow-based information. By mounting two cameras on a mobile robot with different elds of view (one narrow, one wide), the system can estimate time-to-contact and divergence of image ow. This information is then used by a behavioral controller to steer the robot down a "virtual corridor" while avoiding obstacles. The authors describe the integration of visual motion processing, retinal 2D representations, and behavior control, and the experiments conducted within o ce environments. The system represents a signi cant contribution to mobile robotics by combining ow-based information, foveal/peripheral processing, and behavior control into a novel system capable of robustly avoiding obstacles while wandering. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book.…

Seller Inventory # 9781528210737_0

Title
Real-Time Obstacle Avoidance Using Central Flow Divergence and Peripheral Flow
Author
David Coombs, Martin Herman
Publisher
Forgotten Books
Publication year
2018
Condition
New
Book Type
print-on-demand item
Binding
Paperback
Language
English
ISBN 10
1528210735
ISBN 13
9781528210737
Seller catalogs
Physics

Forgotten Books

London, United Kingdom

5-star seller

AbeBooks seller since June 2, 2021

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Store description

Forgotten Books’ Classic Reprint Series utilizes the latest technology to regenerate facsimiles of historically important writings. Careful attention has been made to accurately preserve the original format of each page whilst digitally enhancing the quality of the aged text.

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FB &c Ltd

Dalton House, 60 Windsor Avenue
London, United Kingdom SW19 2RR