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Machine Vision and Navigation [[electronic resource] /] / edited by Oleg Sergiyenko, Wendy Flores-Fuentes, Paolo Mercorelli
| Machine Vision and Navigation [[electronic resource] /] / edited by Oleg Sergiyenko, Wendy Flores-Fuentes, Paolo Mercorelli |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XXXV, 851 p. 483 illus., 362 illus. in color.) |
| Disciplina | 621.382 |
| Soggetto topico |
Electrical engineering
Signal processing Image processing Speech processing systems Computational intelligence Control engineering Robotics Mechatronics Health informatics Communications Engineering, Networks Signal, Image and Speech Processing Computational Intelligence Control, Robotics, Mechatronics Health Informatics |
| ISBN | 3-030-22587-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I. Image and Signal Sensors -- Chapter 1. Image and Signal Sensors for Computing and Machine Vision: developments to meet future needs -- Chapter 2. Bio-Inspired, Real-Time Passive Vision for Mobile Robots -- Chapter 3. Color and Depth Sensing Sensor Technologies for Robotics and Machine Vision -- Chapter 4. Design and simulation of array cells of mixed sensor-processors for intensity transformation and analog-digital coding in machine vision -- Part II. Detection, Tracking and Stereoscopic Vision Systems -- Chapter 5. Image-based Target Detection and Tracking using Image-assisted Robotic Total Stations -- Chapter 6. The Methods of Radar Detection of Landmarks by Mobile Autonomous Robots -- Chapter 7. The Methods of Radar Detection of Landmarks by Mobile Autonomous Robots -- Chapter 8. Stereoscopic Vision Systems in Machine Vision, Models and Applications -- Chapter 9. UKF-Based Image Filtering and 3D Reconstruction -- Part III. Pose Estimation, Avoidance of Objects, Control and Data Exchange for Navigation -- Chapter 10. Lie Algebra Method for Pose Optimization Computation -- Chapter 11. Optimal Generation of Closed Trajectories Over Large, Arbitrary Surfaces Based on Non-Calibrated Vision -- Chapter 12. Optimal Generation of Closed Trajectories Over Large, Arbitrary Surfaces Based on Non-Calibrated Vision -- Chapter 13. Data Exchange and Task of Navigation for Robotic Group -- Chapter 14. Data Exchange and Task of Navigation for Robotic Group -- Chapter 15. Autonomous Mobile Vehicles Systems Overview for Wheeled Ground Applications.-Aerial Imagery Processing -- Chapter 16. Methods for Ensuring the Accuracy of Radiometric and Optoelectronic Navigation Systems of Flying Robots in a Developed Infrastructure -- Chapter 17. Stabilization of Airborne Video Using Sensor Exterior Orientation with Analytical Homography Modeling -- Chapter 18. Visual Servo Controllers for an UAV Tracking Vegetal Paths -- Part V. Machine Vision for Scientific, Industrial and Civil Applications -- Chapter 19. Machine Vision for Scientific, Industrial and Civil Applications -- Chapter 20. Stairways Detection Based on Single Camera by Motion Stereo for the Blind and Visually Impaired -- Chapter 21. Advanced phase triangulation methods for 3D shape measurements in scientific and industrial applications -- Chapter 22.Detection and tracking of melt pool in blown powder deposition through image processing of infrared camera data -- Chapter 23.Image Processing Filters for Machine Fault Detection and Isolation -- Chapter 24. Control and Automation for Miniaturized Microwave GSG Nanoprobing -- Chapter 25. Control and Automation for Miniaturized Microwave GSG Nanoprobing -- Chapter 26.Computer Vision-based Monitoring of Ship Navigation for Bridge Collision Risk Assessment. |
| Record Nr. | UNINA-9910366585903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Optoelectronic devices in robotic systems / / Oleg Sergiyenko, editor
| Optoelectronic devices in robotic systems / / Oleg Sergiyenko, editor |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (378 pages) : illustrations |
| Disciplina | 621.381045 |
| Soggetto topico |
Optoelectronic devices
Robotics Optical detectors |
| ISBN |
9783031097911
9783031097904 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| 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. |
| Record Nr. | UNINA-9910624377503321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Optoelectronic devices in robotic systems / / Oleg Sergiyenko, editor
| Optoelectronic devices in robotic systems / / Oleg Sergiyenko, editor |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (378 pages) : illustrations |
| Disciplina | 621.381045 |
| Soggetto topico |
Optoelectronic devices
Robotics Optical detectors |
| ISBN |
9783031097911
9783031097904 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| 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. |
| Record Nr. | UNISA-996495160903316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Structural Health Monitoring : Measurement Methods and Practical Applications / / edited by Moises Rivas-Lopez, Wendy Flores F., and Oleg Sergiyenko
| Structural Health Monitoring : Measurement Methods and Practical Applications / / edited by Moises Rivas-Lopez, Wendy Flores F., and Oleg Sergiyenko |
| Autore | Oleg Sergiyenko |
| Pubbl/distr/stampa | IntechOpen, 2017 |
| Descrizione fisica | 1 online resource (140 pages) |
| Disciplina | 613 |
| Soggetto non controllato |
Health
Monitoring systems Biomedical Engineering Physical Sciences Engineering and Technology Technology Bioinformatics |
| ISBN |
953-51-4787-0
953-51-3254-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Structural health monitoring |
| Record Nr. | UNINA-9910317860003321 |
Oleg Sergiyenko
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| IntechOpen, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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