Kooperativer Bibliotheksverbund

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Format: XL, 347 p. 246 illus., 188 illus. in color. , online resource.

Edition: 1st ed. 2022.

ISBN: 9783031097911

Content: This book provides a wide scope of contributions related to optoelectronic device application in a variety of robotic systems for diverse purposes. The contributions are focused on optoelectronic sensors and analyzing systems, 3D and 2D machine vision technologies, robot navigation, pose estimations, robot operation in cyclic procedures, control schemes, motion controllers, and intelligent algorithms and vision systems. Applications of these technologies are outlined for unmanned aerial vehicles, autonomous and mobile robots, industrial inspection applications, cultural heritage documentation, and structural health monitoring. Also discussed are recent advanced research in measurement and others areas where 3D and 2D machine vision and machine control play an important role. Surveys and reviews about optoelectronic and vision-based applications are also included. These topics are of interest to readers from a diverse group including those working in optoelectronics, and electrical, electronic and computer engineering. Presents the latest in optoelectronics including sensors, methods, and 3D and 2D technologies in vision-based theories and practical tasks; Includes novel strategies in optoelectronic devices design for robotic applications; Highlights topics such as optoelectronic sensory digital systems, control theory, and mathematical methods.

Note: 3D model-based tracking of puppet in depth images for the dynamic video-mapping of its suit -- Aerial Robotics for Precision Agriculture: Weeds Detection through UAV and Machine Vision -- Zooming Assisted Stereo Matching -- ROS and Stereovision collaborative system -- Self-Attention for 2D Hand Pose Estimation -- Visual Inertial Navigation Systems and Technologies -- Development of a Doppler anemometry method for diagnosing two-phase flows in a liquid metal medium -- 3D Reconstruction of Human Body Biometry -- Fuzzy Decision Making For Intelligent Robotic System -- 3D & 2D Visual Digital Technologies and Cultural Heritage Documentation for Conservation& Monitoring: A Critical Review & Assessment -- Optoelectronic navigation systems of autonomous mobile ground robots in non-deterministic environment.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9783031097904

Additional Edition: Printed edition: ISBN 9783031097928

Additional Edition: Printed edition: ISBN 9783031097935

Language: English

DOI: 10.1007/978-3-031-09791-1

URL: https://doi.org/10.1007/978-3-031-09791-1

URL: Volltext  (URL des Erstveröffentlichers)

URL: lizenzpflichtig

UID:

Format: 1 online resource (378 pages) , illustrations

ISBN: 9783031097911

Note: Intro -- Preface -- An Overview of Optoelectronic Devices in Robotic Systems -- Acknowledgments -- Contents -- Editors and Contributors -- About the Authors -- Contributors -- Abbreviations -- 3D Model-Based Tracking of Puppet in Depth Images for the Dynamic Video-Mapping of Its Suit -- 1 Introduction -- 1.1 Motivation -- 1.2 Related Works -- 1.3 Real-Time Estimation of Every Puppet DoF -- 1.4 Chapter Outline -- 2 Video-Mapping Setup Modeling and Calibration -- 2.1 Geometrical Modeling -- 2.2 Calibration -- 2.2.1 RGBD Camera Calibration -- 2.2.2 Video-Projector Calibration -- 3 Silhouette-Based Visual Tracking -- 3.1 3D Model Silhouette Computation -- 3.2 Silhouette Samples Tracking -- 3.3 Pose Computation -- 3.4 Joint Angles Computation -- 3.5 Solving the 3D Pose and Joint Angles Together -- 4 Puppet Dynamic Video-Mapping Demonstrations -- 4.1 Hardware Setup and Software -- 4.2 Video-Mapping -- 4.3 Dynamic Video-Mapping -- 4.3.1 Rigid Puppet -- 4.3.2 Articulated Puppet -- 4.3.3 Video -- 5 Discussion -- 6 Conclusion -- References -- Aerial Robotics for Precision Agriculture: Weeds Detection Through UAV and Machine Vision -- 1 Introduction -- 2 Monitoring Scenario -- 3 Aerial Robotic System -- 3.1 UAV -- 3.2 RGB, Multispectral, and Hyperspectral Cameras and Laser Scanners -- 4 Computer Vision -- 4.1 Fully Convolutional Neural Networks -- 4.1.1 SegNet -- 4.1.2 U-Net -- 4.1.3 RefineNet with ResNet Backbone -- 4.2 Capsule Neural Networks -- 5 Edge Computing -- 5.1 Origin of Edge Computing -- 5.2 Edge Computing in Precision Agriculture -- 5.3 Edge Computing Hardware for Computer Vision Tasks -- 6 Conclusions -- References -- Zooming Assisted Stereo Matching -- 1 Introduction -- 2 Zoom-Stereo Image Formation -- 2.1 Image Rectification -- 3 Cost Aggregation -- 4 Experiments -- 5 Conclusion -- References -- ROS and Stereovision Collaborative System. , Abbreviations -- 1 Introduction -- 2 Background -- 2.1 Stereovision -- 2.1.1 Stereo System Array -- 2.1.2 Image Capture -- 2.1.3 Correspondence -- 2.1.4 Matching Algorithms -- 2.1.5 Disparity Map -- 2.1.6 Depth Map -- 2.1.7 Stereovision for Collaborative System -- 2.2 Rotational Optical Scanner -- 2.2.1 Aperture -- 2.2.2 Dynamic Triangulation -- 3 Optimization of ROS and Stereovision Combined Use -- 3.1 Collaborative System -- 3.1.1 High Data Volume -- 3.1.2 High Precision -- 3.1.3 Regions of Interest -- 3.1.4 Field of View Synchronization -- 3.1.5 Data Link for Depth Enrichment -- 3.1.6 Calibration -- 3.1.7 Depth Estimation Time -- 4 Summarized Description of Stereovision and ROS Cooperative Use -- 5 Solutions and Recommendations -- 6 Future Research Directions -- 7 Conclusion -- Appendix A -- Appendix B -- References -- Self-attention for 2D Hand Pose Estimation -- 1 Robots and Humanity -- 2 Human Pose Estimation -- 2.1 Notable Approaches -- 2.1.1 Two-Stage Pipelines -- 2.1.2 Single-Stage Pipelines -- 2.2 Methodology -- 2.2.1 Proposed Architecture -- 2.2.2 Stem -- 2.2.3 Blur Pooling -- 2.2.4 Visual Attention -- 2.2.5 Attention Augmented Inverted Bottleneck Block -- 2.2.6 Subsampling -- 2.3 Training Settings -- 3 Evaluation -- 3.1 Datasets -- 3.2 Ablation Studies -- 3.3 Comparative Results -- 4 Conclusions -- References -- Visual-Inertial Navigation Systems and Technologies -- Abbreviations -- 1 Introduction -- 2 VINS -- 3 Stereoscopic Vision Systems -- 4 Mobile Binocular Visual Inertial Odometry -- 5 Omnidirectional Visual-Inertial Navigation Systems -- 6 Laser Scanner Systems -- 7 LIDAR Odometry and Mapping -- 8 Surgical Navigation Robots -- 9 Conclusions -- References -- Development of a Doppler Anemometry Method for Diagnosing Two-Phase Flows in a Liquid Metal Medium -- Abbreviations -- 1 Introduction -- 2 Overview of Existing Methods. , 2.1 Patent Review -- 2.2 Methods of Ultrasonic Diagnostics -- 2.2.1 Amplitude-Shadow Method -- 2.2.2 Time-of-Flight Method (Echo Method) -- 2.2.3 Doppler Method -- 2.3 Piezoceramic Transducers -- 3 Development of the Method of Ultrasonic Diagnostics of Two-Phase Flows in a Liquid Metal Medium -- 4 Development of Sensors Based on Piezoelectric Transducers -- 5 Experiments -- 6 Conclusion -- References -- 3D Reconstruction of Human Body Biometry -- 1 State of the Art -- 2 Geometric Reconstruction -- 2.1 Polygon Mesh -- 2.1.1 Representation of Meshes -- 2.2 Bezier Curves -- 2.2.1 Bezier Algorithm -- 2.2.2 Casteljau Algorithm -- 3 Volumetric Reconstruction -- 3.1 Voronoi Diagram -- 3.1.1 Divide and Conquer -- 3.1.2 Incremental Algorithm -- 3.2 Voxel Algorithm -- 3.2.1 Voxelization -- 3.2.2 Voxel-Based on a Neighborhood -- 3.2.3 Select Seed Voxel Groups and Neighborhood -- 4 Reconstruction of Human Body Surfaces -- 4.1 3D Spine Reconstruction -- 4.2 3D Chest Reconstruction -- 4.3 3D Face Reconstruction -- 4.4 3D Feet Reconstruction -- 4.5 3D Head Reconstruction -- 5 Human Body Modeling Approaches' Comparison -- 5.1 Measurements of Biometric Parameters -- 5.1.1 Deformities' Analysis in Foot -- 5.1.2 Deformities' Analysis in Chest -- 6 Technical Vision System for 3D Human Body Measurements -- 6.1 Dynamic Triangulation Principle -- 6.2 Positioning Laser and Scanning Aperture -- 6.3 3D Reconstruction in Point Cloud Captured by the TVS -- 7 Conclusion -- References -- Fuzzy Decision-Making for Intelligent Robotic System -- Abbreviations -- 1 Introduction -- 2 Fuzzy Expressions and Their Description in Automated Control Systems (ACS) -- 3 Individual Strategy Planning in ACS -- 4 Multistep Strategy Planning -- 5 Fuzzy Adaptive Robot Control Modeling -- 6 Conclusions -- References. , 3D and 2D Visual Digital Technologies and Cultural Heritage Documentation for Conservation and Monitoring: A Critical Review and Assessment -- Abbreviations -- 1 Introduction and Scope -- 2 A Critical Review and Assessment of the Difference Between CH Terms Within Conservation and Monitoring: Surveying, Recording and Documentation -- 2.1 How Does One Define the Term CH Documentation in the Context of Conservation and Monitoring? -- 3 Critical Review, Assessment, and Investigation of 3D and 2D Visual Digital Technologies for CH Documentation and Project Team(s) Within Conservation and Monitoring -- 3.1 Visual and Photographic Inspection Techniques and Tools for CH Documentation -- 3.2 Who Is the CH Documentation Project Team(s?) -- 4 Discussion of Visual Digital CH Documentation Tools and Techniques, Sharing and Standards and Design Issues: Critical Evaluation -- 4.1 Is There a Need for Sharing and Documentation Standards or Guidelines? -- 4.2 Will Visual Digital Technology Completely Replace Traditional and More Labour-Intensive Methods for CH Documentation? -- 5 Summary and Concluding Remarks -- References -- Optoelectronic Navigation Systems of Autonomous Mobile Ground Robots in Non-deterministic Environment -- Abbreviations -- 1 Introduction -- 1.1 Machine Vision Systems in Robotics -- 1.2 Timing of Self-Positioning in Robotics -- 1.3 Subtasks in Mobile Robotic Navigation -- 2 Mobile Robot Navigation Approaches/Techniques -- 2.1 Popular Methods -- 2.1.1 Method of Decomposition of Cells -- 2.1.2 Artificial Potential Field (APF) Method -- 2.1.3 Roadmap Method (RM) -- 2.2 Perceptive Approach Algorithms -- 2.2.1 Genetic Algorithm (GA) -- 2.2.2 Cuckoo Search (CS) Algorithm -- 2.2.3 Shuffled Frog Leaping Algorithm (SFLA) -- 2.2.4 Ant Colony Optimization (ACO) -- 2.2.5 Bacterial Foraging Optimization (BFO) Algorithm. , 2.2.6 Particle Swarm Optimization (PSO) -- 2.2.7 Neural Network (NN) -- 2.2.8 Firefly Algorithm (FA) -- 2.2.9 Fuzzy Logic (FL) -- 2.3 Other Miscellaneous Algorithms [OMA] -- 2.4 Methods to Solve Subtasks in Mobile Robotic Navigation -- 3 Fundamentals and Problems in Mobile Robotic Navigation -- 3.1 Practical Specialties of the 3D Laser Scanner Functioning -- 3.2 Problems of Laser Spot Shape Imperfections -- 3.3 Problems of MR Group -- 3.4 Scanning from Various Positions of the 3D Laser Scanner -- 3.5 Problems of Simultaneous Data Fusion of 3D Laser Scans -- 4 Strategy of Mobile Robot Navigation -- 4.1 Practical Specialties of the 3D Laser Scanner Functioning -- 4.2 Problems of Laser Spot Shape Imperfections -- 4.3 Onboard Robot Reference Clock Validation -- 4.4 Neural Networks' Application on 3D Measurement Error Decrease -- 4.5 TVS Functioning with a Variable Scanning Step for Faster Search -- 4.6 Path Planning for MR Navigation -- 5 Conclusions and Outlook -- References -- Index.

Additional Edition: Print version: Sergiyenko, Oleg Optoelectronic Devices in Robotic Systems Cham : Springer International Publishing AG,c2022 ISBN 9783031097904

Language: English