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Springer Active Sensor Planning for Multiview Vision Tasks - Springer

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Description

Active Sensor Planning for Multiview Vision Tasks is a comprehensive exploration of active visual perception strategies for robotic systems. This Springer publication comprises eleven chapters that synthesize a decade of pioneering research in robot vision, introducing cutting-edge concepts and practical methodologies. The book bridges theory and application by providing implementation examples tested on real robot systems, enabling developers to deploy optimal sensor planning strategies that enhance adaptability across diverse practical applications. Vision sensors face inherent limitations with restricted fields of view, capturing only partial scene information from single viewpoints. This book addresses these fundamental challenges and equips engineers and researchers with the knowledge to overcome them, making it essential reading for those working in computer vision, robotics, and autonomous systems.

Key Features

Eleven chapters synthesising ten years of recent research in robot vision and active visual perception techniques.

Theoretical methods paired with real-world implementation examples tested on actual robot systems for practical validation.

Optimal sensor planning strategies designed to improve adaptability of robot vision systems in multiple applications.

Comprehensive coverage of multiview vision tasks addressing the limitations of single-viewpoint sensor configurations.

Published by Springer, providing academic rigour and peer-reviewed content for advanced computer vision and AI professionals.

Practical solutions for deploying active vision sensors that overcome field-of-view constraints in robotic perception.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
28 November 2014
Listed Since
02 December 2014

Barcode

No barcode data available

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