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Machine Vision and Navigation

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Cover of 'Machine Vision and Navigation'

Table of Contents

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    Book Overview
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    Chapter 1 Image and Signal Sensors for Computing and Machine Vision: Developments to Meet Future Needs
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    Chapter 2 Bio-Inspired, Real-Time Passive Vision for Mobile Robots
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    Chapter 3 Color and Depth Sensing Sensor Technologies for Robotics and Machine Vision
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    Chapter 4 Design and Simulation of Array Cells of Mixed Sensor Processors for Intensity Transformation and Analog-Digital Coding in Machine Vision
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    Chapter 5 Image-Based Target Detection and Tracking Using Image-Assisted Robotic Total Stations
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    Chapter 6 The Methods of Radar Detection of Landmarks by Mobile Autonomous Robots
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    Chapter 7 Machine Vision System for Orchard Management
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    Chapter 8 Stereoscopic Vision Systems in Machine Vision, Models, and Applications
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    Chapter 9 UKF-Based Image Filtering and 3D Reconstruction
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    Chapter 10 Lie Algebra Method for Pose Optimization Computation
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    Chapter 11 Optimal Generation of Closed Trajectories over Large, Arbitrary Surfaces Based on Non-calibrated Vision
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    Chapter 12 Unified Passivity-Based Visual Control for Moving Object Tracking
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    Chapter 13 Data Exchange and Task of Navigation for Robotic Group
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    Chapter 14 Real-Time Egocentric Navigation Using 3D Sensing
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    Chapter 15 Autonomous Mobile Vehicle System Overview for Wheeled Ground Applications
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    Chapter 16 Methods for Ensuring the Accuracy of Radiometric and Optoelectronic Navigation Systems of Flying Robots in a Developed Infrastructure
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    Chapter 17 Stabilization of Airborne Video Using Sensor Exterior Orientation with Analytical Homography Modeling
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    Chapter 18 Visual Servo Controllers for an UAV Tracking Vegetal Paths
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    Chapter 19 Advances in Image and Video Compression Using Wavelet Transforms and Fovea Centralis
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    Chapter 20 Stairway Detection Based on Single Camera by Motion Stereo for the Blind and Visually Impaired
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    Chapter 21 Advanced Phase Triangulation Methods for 3D Shape Measurements in Scientific and Industrial Applications
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    Chapter 22 Detection and Tracking of Melt Pool in Blown Powder Deposition Through Image Processing of Infrared Camera Data
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    Chapter 23 Image Processing Filters for Machine Fault Detection and Isolation
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    Chapter 24 Control and Automation for Miniaturized Microwave GSG Nanoprobing
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    Chapter 25 Development of Design and Training Application for Deep Convolutional Neural Networks and Support Vector Machines
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    Chapter 26 Computer Vision-Based Monitoring of Ship Navigation for Bridge Collision Risk Assessment
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Mentioned by

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10 tweeters

Citations

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Readers on

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Title
Machine Vision and Navigation
Published by
Springer International Publishing, January 2020
DOI 10.1007/978-3-030-22587-2
ISBNs
978-3-03-022586-5, 978-3-03-022587-2
Editors

Oleg Sergiyenko, Wendy Flores-Fuentes, Paolo Mercorelli

Twitter Demographics

The data shown below were collected from the profiles of 10 tweeters 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 23%
Student > Bachelor 2 15%
Professor 2 15%
Student > Master 1 8%
Researcher 1 8%
Other 1 8%
Unknown 3 23%
Readers by discipline Count As %
Engineering 6 46%
Economics, Econometrics and Finance 1 8%
Computer Science 1 8%
Decision Sciences 1 8%
Arts and Humanities 1 8%
Other 0 0%
Unknown 3 23%