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Vision Based Systemsfor UAV Applications

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Cover of 'Vision Based Systemsfor UAV Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Machine Vision in Autonomous Systems of Detection and Location of Objects in Digital Images
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    Chapter 2 Recognition and Location of Objects in the Visual Field of a UAV Vision System
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    Chapter 3 Automatic Targeting Sentry Turret for Distributed Systems
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    Chapter 4 Object Tracking for Rapid Camera Movements in 3D Space
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    Chapter 5 Object Tracking in a Picture during Rapid Camera Movements
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    Chapter 6 Thermal Camera for Autonomous Mobile Platforms
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    Chapter 7 Gyro-Stabilized Platform for Multispectral Image Acquisition
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    Chapter 8 Omnidirectional Video Acquisition Device (OVAD )
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    Chapter 9 Vision System for Group of Mobile Robots
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    Chapter 10 A Distributed Control Group of Mobile Robots in a Limited Area with a Vision System
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    Chapter 11 System for Multi-axial Mechanical Stabilization of Digital Camera
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    Chapter 12 Probabilistic Approach to Planning Collision Free Path of UAV
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    Chapter 13 Vision Based Systemsfor UAV Applications
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    Chapter 14 Prototyping the Autonomous Flight Algorithms Using the Prepar3D ® Simulator
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    Chapter 15 Feature Extraction and HMM-Based Classification of Gait Video Sequences for the Purpose of Human Identification
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    Chapter 16 The Dedicated Wireless Communication Device for Group of Unmanned Vehicles
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    Chapter 17 Selection of Individual Gait Features Extracted by MPCA Applied to Video Recordings Data
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    Chapter 18 Comparative Analysis of Power Loses in Selected Measurement Devices Used in SMART GRID Systems
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    Chapter 19 Technology Development of Military Applications of Unmanned Ground Vehicles
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    Chapter 20 Estimation of Solution of Discrete Linear Time-Varying System
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    Chapter 21 Virtual Reality Technology for Military and Industry Training Programs
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    Chapter 22 Verifying Unmanned Land Vehicle Vision System Configuration Using Serious Gaming Solution
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Title
Vision Based Systemsfor UAV Applications
Published by
Springer International Publishing, December 2013
DOI 10.1007/978-3-319-00369-6
ISBNs
978-3-31-900368-9, 978-3-31-900369-6
Editors

Nawrat, Aleksander, Kuś, Zygmunt

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 8%
Other 1 2%
Unknown 57 90%
Readers by discipline Count As %
Computer Science 3 5%
Engineering 2 3%
Social Sciences 1 2%
Unknown 57 90%