Optoelectronic devices in robotic systems / / Oleg Sergiyenko, editor

• Pubblicazione: Cham, Switzerland : , : Springer, , [2022]; ©2022
• Descrizione fisica: 1 online resource (378 pages) : illustrations
• Disciplina: 621.381045
• Soggetto topico: Optoelectronic devices; Robotics; Optical detectors
• Persona (resp. second.): SergiyenkoOleg
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 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.
• Titolo autorizzato: Optoelectronic devices in robotic systems
• ISBN: 9783031097911; 9783031097904
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910624377503321
• Lo trovi qui: Univ. Federico II