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Computer Vision Systems : 14th International Conference, ICVS 2023, Vienna, Austria, September 27-29, 2023, Proceedings
| Computer Vision Systems : 14th International Conference, ICVS 2023, Vienna, Austria, September 27-29, 2023, Proceedings |
| Autore | Christensen Henrik I |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2023 |
| Descrizione fisica | 1 online resource (466 pages) |
| Altri autori (Persone) |
CorkePeter
DetryRenaud WeibelJean-Baptiste VinczeMarkus |
| Collana | Lecture Notes in Computer Science Series |
| ISBN | 3-031-44137-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Humans and Hands -- Tracking and Identification of Ice Hockey Players -- 1 Introduction -- 2 Related Work -- 2.1 Dataset -- 2.2 Player Detection -- 2.3 Player Tracking -- 2.4 Number Recognition -- 3 System Overview -- 3.1 Player Detection -- 3.2 Player Tracking -- 3.3 Player Identification -- 4 Results -- 4.1 Dataset -- 4.2 Player Tracking -- 4.3 Player Identification -- 5 Conclusion -- References -- Dedicated Encoding-Streams Based Spatio-Temporal Framework for Dynamic Person-Independent Facial Expression Recognition -- 1 Introduction -- 2 Related Works -- 3 Proposed Deep CNN-LSTM for Dynamic FER -- 4 Experimental Analysis -- 4.1 Dynamic FER Datasets -- 4.2 Evaluation of the Proposed CNN-LSTM -- 4.3 Comparison Against State-of-the-art -- 4.4 Confusion Matrix-Based Analysis -- 4.5 Ablation Study -- 4.6 Implementation Details and Running Time -- 5 Conclusion -- References -- Hands, Objects, Action! Egocentric 2D Hand-Based Action Recognition -- 1 Introduction -- 2 Related Work -- 3 Hand-Based 2D Action Recognition -- 3.1 Object Detection and Its Position -- 3.2 Hand Pose Estimation -- 3.3 Action Recognition -- 4 Evaluation -- 4.1 Learning Procedure -- 4.2 Stage I - Preliminary Evaluation -- 4.3 Stage II -Evaluation of a Complete Pipeline -- 4.4 Ablation Study -- 5 Conclusion -- References -- WiFi CSI-Based Long-Range Through-Wall Human Activity Recognition with the ESP32 -- 1 Introduction -- 2 Related Work -- 3 Experimental Setup -- 3.1 Hardware -- 3.2 Recording Environment -- 3.3 Data Collection and Pre-processing -- 4 Evaluation -- 4.1 Model Training -- 4.2 Presence Detection Results -- 4.3 Activity Recognition Results -- 5 Conclusion -- References -- PseudoDepth-SLR: Generating Depth Data for Sign Language Recognition -- 1 Introduction -- 2 Related Work -- 3 Methodology.
3.1 Proposed Architecture -- 3.2 Pseudo Depth Data Generation -- 4 Experimental Details -- 4.1 Dataset and Evaluation -- 4.2 Implementation Details -- 5 Results and Analysis -- 5.1 How Significant is Depth Data? -- 5.2 Comparison with State-of-the-Art Results -- 6 Ablation Study -- 6.1 Depth Flow Data -- 6.2 Pseudo Depth Data Generation -- 7 Conclusion -- References -- Slovo: Russian Sign Language Dataset -- 1 Introduction -- 2 Related Work -- 2.1 Sign Language Datasets in Russian Domain -- 2.2 Others Sign Language Datasets -- 2.3 Sign Language Dataset Collection -- 3 Dataset Creation -- 4 Dataset Description -- 5 Experiments -- 6 Conclusion -- References -- Non-contact Heart Rate Monitoring: A Comparative Study of Computer Vision and Radar Approaches -- 1 Introduction -- 2 Non-contact Heart Rate Monitoring -- 2.1 CV-Based HR Monitoring -- 2.2 Radar-Based HR Monitoring -- 3 CV and Radar-Based DMS Testbench Architectures -- 3.1 Proposed CV-Based HR Monitoring Architecture -- 3.2 Proposed Radar-Based HR Monitoring Architecture -- 4 Experiment Design and Results Analysis -- 4.1 Performance Validation -- 4.2 Variation of IBI Distribution with Sensor Modality -- 4.3 Impact of Distance on CV and Radar-Based HR Detection -- 4.4 Impact of Illumination on CV-Based HR Detection -- 4.5 Impact of Motion on CV and Radar-Based HR Detection -- 5 Discussion and Conclusions -- References -- Medical and Health Care -- CFAB: An Online Data Augmentation to Alleviate the Spuriousness of Classification on Medical Ultrasound Images -- 1 Introduction -- 2 Approach -- 2.1 Weakly Supervised Lesion Localization -- 2.2 Mixed Samples Generation -- 2.3 Collaborative Training Framework -- 3 Experiences -- 3.1 Implementation Details -- 3.2 Performance Comparison -- 3.3 Effectiveness of Lesion Localization -- 3.4 Ablation Studies -- 3.5 Visualization -- 4 Conclusion -- References. Towards an Unsupervised GrowCut Algorithm for Mammography Segmentation -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 4 Experimental Results -- 5 Conclusions and Future Work -- References -- DeepLabV3+ Ensemble for Diagnosis of Cardiac Transplant Rejection -- 1 Introduction -- 2 Related Work -- 3 Our Approach -- 3.1 Dataset -- 3.2 Data Preprocessing -- 3.3 DeepLabV3+ -- 3.4 Stacked U-Net -- 3.5 mU-Net++ -- 3.6 Post-processing -- 4 Results -- 4.1 Models Evaluation -- 5 Conclusions and Discussion -- References -- Farming and Forestry -- Of Mice and Pose: 2D Mouse Pose Estimation from Unlabelled Data and Synthetic Prior -- 1 Introduction -- 2 Related Work -- 3 Method -- 4 Experiments -- 5 Discussion and Conclusion -- References -- SIFT-Guided Saliency-Based Augmentation for Weed Detection in Grassland Images: Fusing Classic Computer Vision with Deep Learning -- 1 Introduction -- 2 Related Work -- 2.1 Rumex Detection -- 2.2 Augmentation in Deep Learning -- 3 Method -- 3.1 YOLOR -- 3.2 SIFT-Guided Saliency-Based Augmentation Module -- 4 Experimental Setup -- 4.1 Dataset -- 4.2 Metrics -- 4.3 Fixed Training Settings -- 5 Experiments -- 5.1 Baseline Performance -- 5.2 Ablation Study of Module Usage Probability psift -- 5.3 Ablation Study of Overlay Ratio rsift -- 6 Conclusion -- References -- Key Point-Based Orientation Estimation of Strawberries for Robotic Fruit Picking -- 1 Introduction -- 2 Related Work -- 3 The Approach -- 3.1 Key Point Detection -- 3.2 Key Point-Based Orientation -- 3.3 Improved Estimation of the Pitch Angle -- 4 Evaluation Setup -- 5 Results -- 6 Conclusions and Future Work -- References -- Residual Cascade CNN for Detection of Spatially Relevant Objects in Agriculture: The Grape-Stem Paradigm -- 1 Introduction -- 2 Related Work -- 2.1 Instance Segmentation -- 2.2 Object Detection in Agriculture -- 3 Motivation. 4 Method -- 4.1 Data Collection/Annotation -- 4.2 Yolo-V5 Architecture -- 4.3 Residual Connection of Detectors -- 5 Experimental Results -- 5.1 Evaluation -- 5.2 Conclusions -- References -- Improving Knot Prediction in Wood Logs with Longitudinal Feature Propagation -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Preprocessing -- 3.2 Neural Network Architectures Without Recurrent Connections -- 3.3 Neural Network Architectures with Recurrent Connections -- 3.4 Evaluation Metrics -- 3.5 Other Experimental Hyperparameters -- 4 Results -- 5 Discussion -- References -- Automation and Manufacturing -- Semi-Siamese Network for Robust Change Detection Across Different Domains with Applications to 3D Printing -- 1 Introduction -- 2 Related Work -- 3 Semi-Siamese Defect Detection Model -- 3.1 Transfer Learning from U-Net Models -- 3.2 Semi-Siamese Network Architecture -- 3.3 Training Objective -- 4 Experiments -- 4.1 Full Dataset Generation Using Data Augmentation -- 5 Results -- 6 Conclusions -- References -- Spatial Resolution Metric for Optimal Viewpoints Generation in Visual Inspection Planning -- 1 Introduction -- 2 Viewpoint Planning Problem Formulation -- 3 State of the Art of the VPP -- 4 Sampling Density Matrix -- 5 Results and Discussions -- 6 Conclusions and Outlook -- References -- A Deep Learning-Based Object Detection Framework for Automatic Asphalt Pavement Patch Detection Using Laser Profiling Images -- 1 Introduction -- 1.1 Visual Inspection -- 1.2 Related Work -- 2 Methodology -- 2.1 Data Collection & -- Preparation -- 2.2 Network Architecture -- 2.3 Evaluation Protocol -- 2.4 Experimental Results -- 2.5 Patch Detection on Different Pavement Conditions -- 3 Conclusion -- References -- A Flexible Approach to PCB Characterization for Recycling -- 1 Introduction -- 2 Approach -- 2.1 Dataset -- 3 Implementation. 3.1 Segmentation -- 3.2 Components Identification -- 3.3 Rule-Based Classification -- 3.4 ML Classifier -- 4 Results -- 4.1 Rule-Based vs ML Classifier -- 4.2 PCB Classification -- 5 Conclusion -- References -- SynthRetailProduct3D (SyRePro3D): A Pipeline for Synthesis of 3D Retail Product Models with Domain Specific Details Based on Package Class Templates -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Product Package Base Template Model -- 3.2 Object 3D Shape Augmentation -- 3.3 Generative Models for Domain-Specific Add-Ons -- 3.4 Base Texturing -- 3.5 Placing of Domain-Specific Add-Ons -- 4 Results -- 5 Conclusions -- References -- Small, but Important: Traffic Light Proposals for Detecting Small Traffic Lights and Beyond -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Traffic Light Proposal Generator -- 3.2 Traffic Light Detection Module -- 3.3 Training -- 4 Experiments -- 4.1 Quantitative Results -- 4.2 Qualitative Results -- 4.3 Ablation Studies -- 5 Conclusion -- References -- MATWI: A Multimodal Automatic Tool Wear Inspection Dataset and Baseline Algorithms -- 1 Introduction -- 2 Related Work -- 2.1 Datasets and Methods with Sensor Data -- 2.2 Datasets and Methods with Image Data -- 3 MATWI Dataset -- 3.1 Dataset Acquisition -- 3.2 Data Collection Conditions -- 3.3 Hardware Setup -- 3.4 Collected Data -- 4 Algorithms for Wear Estimation -- 4.1 Dataset Training/test Split -- 4.2 Regression Baseline -- 4.3 Histogram-Loss Based Embedding Learning -- 4.4 Quantitative Results -- 5 Conclusions -- 6 Future Work -- References -- Mixing Domains for Smartly Picking and Using Limited Datasets in Industrial Object Detection -- 1 Introduction -- 2 Related Work -- 3 Multi-domain Hybrid Datasets -- 3.1 Real Data Acquisition -- 3.2 Synthetic Data Generation -- 4 Experimentation and Results -- 4.1 Experimentation Setup. 4.2 Obtained Results and Discussion. |
| Record Nr. | UNISA-996550554303316 |
Christensen Henrik I
|
||
| Cham : , : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Computer Vision Systems : 14th International Conference, ICVS 2023, Vienna, Austria, September 27-29, 2023, Proceedings
| Computer Vision Systems : 14th International Conference, ICVS 2023, Vienna, Austria, September 27-29, 2023, Proceedings |
| Autore | Christensen Henrik I |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2023 |
| Descrizione fisica | 1 online resource (466 pages) |
| Altri autori (Persone) |
CorkePeter
DetryRenaud WeibelJean-Baptiste VinczeMarkus |
| Collana | Lecture Notes in Computer Science Series |
| ISBN | 3-031-44137-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Humans and Hands -- Tracking and Identification of Ice Hockey Players -- 1 Introduction -- 2 Related Work -- 2.1 Dataset -- 2.2 Player Detection -- 2.3 Player Tracking -- 2.4 Number Recognition -- 3 System Overview -- 3.1 Player Detection -- 3.2 Player Tracking -- 3.3 Player Identification -- 4 Results -- 4.1 Dataset -- 4.2 Player Tracking -- 4.3 Player Identification -- 5 Conclusion -- References -- Dedicated Encoding-Streams Based Spatio-Temporal Framework for Dynamic Person-Independent Facial Expression Recognition -- 1 Introduction -- 2 Related Works -- 3 Proposed Deep CNN-LSTM for Dynamic FER -- 4 Experimental Analysis -- 4.1 Dynamic FER Datasets -- 4.2 Evaluation of the Proposed CNN-LSTM -- 4.3 Comparison Against State-of-the-art -- 4.4 Confusion Matrix-Based Analysis -- 4.5 Ablation Study -- 4.6 Implementation Details and Running Time -- 5 Conclusion -- References -- Hands, Objects, Action! Egocentric 2D Hand-Based Action Recognition -- 1 Introduction -- 2 Related Work -- 3 Hand-Based 2D Action Recognition -- 3.1 Object Detection and Its Position -- 3.2 Hand Pose Estimation -- 3.3 Action Recognition -- 4 Evaluation -- 4.1 Learning Procedure -- 4.2 Stage I - Preliminary Evaluation -- 4.3 Stage II -Evaluation of a Complete Pipeline -- 4.4 Ablation Study -- 5 Conclusion -- References -- WiFi CSI-Based Long-Range Through-Wall Human Activity Recognition with the ESP32 -- 1 Introduction -- 2 Related Work -- 3 Experimental Setup -- 3.1 Hardware -- 3.2 Recording Environment -- 3.3 Data Collection and Pre-processing -- 4 Evaluation -- 4.1 Model Training -- 4.2 Presence Detection Results -- 4.3 Activity Recognition Results -- 5 Conclusion -- References -- PseudoDepth-SLR: Generating Depth Data for Sign Language Recognition -- 1 Introduction -- 2 Related Work -- 3 Methodology.
3.1 Proposed Architecture -- 3.2 Pseudo Depth Data Generation -- 4 Experimental Details -- 4.1 Dataset and Evaluation -- 4.2 Implementation Details -- 5 Results and Analysis -- 5.1 How Significant is Depth Data? -- 5.2 Comparison with State-of-the-Art Results -- 6 Ablation Study -- 6.1 Depth Flow Data -- 6.2 Pseudo Depth Data Generation -- 7 Conclusion -- References -- Slovo: Russian Sign Language Dataset -- 1 Introduction -- 2 Related Work -- 2.1 Sign Language Datasets in Russian Domain -- 2.2 Others Sign Language Datasets -- 2.3 Sign Language Dataset Collection -- 3 Dataset Creation -- 4 Dataset Description -- 5 Experiments -- 6 Conclusion -- References -- Non-contact Heart Rate Monitoring: A Comparative Study of Computer Vision and Radar Approaches -- 1 Introduction -- 2 Non-contact Heart Rate Monitoring -- 2.1 CV-Based HR Monitoring -- 2.2 Radar-Based HR Monitoring -- 3 CV and Radar-Based DMS Testbench Architectures -- 3.1 Proposed CV-Based HR Monitoring Architecture -- 3.2 Proposed Radar-Based HR Monitoring Architecture -- 4 Experiment Design and Results Analysis -- 4.1 Performance Validation -- 4.2 Variation of IBI Distribution with Sensor Modality -- 4.3 Impact of Distance on CV and Radar-Based HR Detection -- 4.4 Impact of Illumination on CV-Based HR Detection -- 4.5 Impact of Motion on CV and Radar-Based HR Detection -- 5 Discussion and Conclusions -- References -- Medical and Health Care -- CFAB: An Online Data Augmentation to Alleviate the Spuriousness of Classification on Medical Ultrasound Images -- 1 Introduction -- 2 Approach -- 2.1 Weakly Supervised Lesion Localization -- 2.2 Mixed Samples Generation -- 2.3 Collaborative Training Framework -- 3 Experiences -- 3.1 Implementation Details -- 3.2 Performance Comparison -- 3.3 Effectiveness of Lesion Localization -- 3.4 Ablation Studies -- 3.5 Visualization -- 4 Conclusion -- References. Towards an Unsupervised GrowCut Algorithm for Mammography Segmentation -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 4 Experimental Results -- 5 Conclusions and Future Work -- References -- DeepLabV3+ Ensemble for Diagnosis of Cardiac Transplant Rejection -- 1 Introduction -- 2 Related Work -- 3 Our Approach -- 3.1 Dataset -- 3.2 Data Preprocessing -- 3.3 DeepLabV3+ -- 3.4 Stacked U-Net -- 3.5 mU-Net++ -- 3.6 Post-processing -- 4 Results -- 4.1 Models Evaluation -- 5 Conclusions and Discussion -- References -- Farming and Forestry -- Of Mice and Pose: 2D Mouse Pose Estimation from Unlabelled Data and Synthetic Prior -- 1 Introduction -- 2 Related Work -- 3 Method -- 4 Experiments -- 5 Discussion and Conclusion -- References -- SIFT-Guided Saliency-Based Augmentation for Weed Detection in Grassland Images: Fusing Classic Computer Vision with Deep Learning -- 1 Introduction -- 2 Related Work -- 2.1 Rumex Detection -- 2.2 Augmentation in Deep Learning -- 3 Method -- 3.1 YOLOR -- 3.2 SIFT-Guided Saliency-Based Augmentation Module -- 4 Experimental Setup -- 4.1 Dataset -- 4.2 Metrics -- 4.3 Fixed Training Settings -- 5 Experiments -- 5.1 Baseline Performance -- 5.2 Ablation Study of Module Usage Probability psift -- 5.3 Ablation Study of Overlay Ratio rsift -- 6 Conclusion -- References -- Key Point-Based Orientation Estimation of Strawberries for Robotic Fruit Picking -- 1 Introduction -- 2 Related Work -- 3 The Approach -- 3.1 Key Point Detection -- 3.2 Key Point-Based Orientation -- 3.3 Improved Estimation of the Pitch Angle -- 4 Evaluation Setup -- 5 Results -- 6 Conclusions and Future Work -- References -- Residual Cascade CNN for Detection of Spatially Relevant Objects in Agriculture: The Grape-Stem Paradigm -- 1 Introduction -- 2 Related Work -- 2.1 Instance Segmentation -- 2.2 Object Detection in Agriculture -- 3 Motivation. 4 Method -- 4.1 Data Collection/Annotation -- 4.2 Yolo-V5 Architecture -- 4.3 Residual Connection of Detectors -- 5 Experimental Results -- 5.1 Evaluation -- 5.2 Conclusions -- References -- Improving Knot Prediction in Wood Logs with Longitudinal Feature Propagation -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Preprocessing -- 3.2 Neural Network Architectures Without Recurrent Connections -- 3.3 Neural Network Architectures with Recurrent Connections -- 3.4 Evaluation Metrics -- 3.5 Other Experimental Hyperparameters -- 4 Results -- 5 Discussion -- References -- Automation and Manufacturing -- Semi-Siamese Network for Robust Change Detection Across Different Domains with Applications to 3D Printing -- 1 Introduction -- 2 Related Work -- 3 Semi-Siamese Defect Detection Model -- 3.1 Transfer Learning from U-Net Models -- 3.2 Semi-Siamese Network Architecture -- 3.3 Training Objective -- 4 Experiments -- 4.1 Full Dataset Generation Using Data Augmentation -- 5 Results -- 6 Conclusions -- References -- Spatial Resolution Metric for Optimal Viewpoints Generation in Visual Inspection Planning -- 1 Introduction -- 2 Viewpoint Planning Problem Formulation -- 3 State of the Art of the VPP -- 4 Sampling Density Matrix -- 5 Results and Discussions -- 6 Conclusions and Outlook -- References -- A Deep Learning-Based Object Detection Framework for Automatic Asphalt Pavement Patch Detection Using Laser Profiling Images -- 1 Introduction -- 1.1 Visual Inspection -- 1.2 Related Work -- 2 Methodology -- 2.1 Data Collection & -- Preparation -- 2.2 Network Architecture -- 2.3 Evaluation Protocol -- 2.4 Experimental Results -- 2.5 Patch Detection on Different Pavement Conditions -- 3 Conclusion -- References -- A Flexible Approach to PCB Characterization for Recycling -- 1 Introduction -- 2 Approach -- 2.1 Dataset -- 3 Implementation. 3.1 Segmentation -- 3.2 Components Identification -- 3.3 Rule-Based Classification -- 3.4 ML Classifier -- 4 Results -- 4.1 Rule-Based vs ML Classifier -- 4.2 PCB Classification -- 5 Conclusion -- References -- SynthRetailProduct3D (SyRePro3D): A Pipeline for Synthesis of 3D Retail Product Models with Domain Specific Details Based on Package Class Templates -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Product Package Base Template Model -- 3.2 Object 3D Shape Augmentation -- 3.3 Generative Models for Domain-Specific Add-Ons -- 3.4 Base Texturing -- 3.5 Placing of Domain-Specific Add-Ons -- 4 Results -- 5 Conclusions -- References -- Small, but Important: Traffic Light Proposals for Detecting Small Traffic Lights and Beyond -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Traffic Light Proposal Generator -- 3.2 Traffic Light Detection Module -- 3.3 Training -- 4 Experiments -- 4.1 Quantitative Results -- 4.2 Qualitative Results -- 4.3 Ablation Studies -- 5 Conclusion -- References -- MATWI: A Multimodal Automatic Tool Wear Inspection Dataset and Baseline Algorithms -- 1 Introduction -- 2 Related Work -- 2.1 Datasets and Methods with Sensor Data -- 2.2 Datasets and Methods with Image Data -- 3 MATWI Dataset -- 3.1 Dataset Acquisition -- 3.2 Data Collection Conditions -- 3.3 Hardware Setup -- 3.4 Collected Data -- 4 Algorithms for Wear Estimation -- 4.1 Dataset Training/test Split -- 4.2 Regression Baseline -- 4.3 Histogram-Loss Based Embedding Learning -- 4.4 Quantitative Results -- 5 Conclusions -- 6 Future Work -- References -- Mixing Domains for Smartly Picking and Using Limited Datasets in Industrial Object Detection -- 1 Introduction -- 2 Related Work -- 3 Multi-domain Hybrid Datasets -- 3.1 Real Data Acquisition -- 3.2 Synthetic Data Generation -- 4 Experimentation and Results -- 4.1 Experimentation Setup. 4.2 Obtained Results and Discussion. |
| Record Nr. | UNINA-9910746299903321 |
|
Christensen Henrik I
|
||
| Cham : , : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Field and Service Robotics [[electronic resource] ] : Results of the 9th International Conference / / edited by Luis Mejias, Peter Corke, Jonathan Roberts
| Field and Service Robotics [[electronic resource] ] : Results of the 9th International Conference / / edited by Luis Mejias, Peter Corke, Jonathan Roberts |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XIV, 530 p. 324 illus., 289 illus. in color.) |
| Disciplina | 629.892 |
| Collana | Springer Tracts in Advanced Robotics |
| Soggetto topico |
Robotics
Automation Artificial intelligence Robotics and Automation Artificial Intelligence |
| ISBN | 3-319-07488-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Autonomous Underwater Vehicles -- Outdoor Driving -- Unmanned Aerial Vehicles -- Control -- Humanoid and Space -- Mapping and Recognition -- Vision -- Domestic Robots -- Agriculture Robots -- Search and Rescue Robots. |
| Record Nr. | UNINA-9910299850203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Real-World Wireless Sensor Networks [[electronic resource] ] : 4th International Workshop, REALWSN 2010, Colombo, Sri Lanka, December 16-17, 2010, Proceedings / / edited by Pedro José Marron, Thiemo Voigt, Peter Corke, Luca Mottola
| Real-World Wireless Sensor Networks [[electronic resource] ] : 4th International Workshop, REALWSN 2010, Colombo, Sri Lanka, December 16-17, 2010, Proceedings / / edited by Pedro José Marron, Thiemo Voigt, Peter Corke, Luca Mottola |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
| Descrizione fisica | 1 online resource (XII, 220 p. 101 illus.) |
| Disciplina | 004.6 |
| Collana | Computer Communication Networks and Telecommunications |
| Soggetto topico |
Computer communication systems
Artificial intelligence Software engineering Computer simulation Data mining Special purpose computers Computer Communication Networks Artificial Intelligence Software Engineering Simulation and Modeling Data Mining and Knowledge Discovery Special Purpose and Application-Based Systems |
| ISBN |
1-280-39063-8
9786613568557 3-642-17520-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Applications I -- K2: A System for Campaign Deployments of Wireless Sensor Networks -- TigerCENSE: Wireless Image Sensor Network to Monitor Tiger Movement -- Motes in the Jungle: Lessons Learned from a Short-Term WSN Deployment in the Ecuador Cloud Forest -- Deploying Wireless Sensor Networking Technology in a Rescue Team Context -- OS Support and Programming -- Visibility Levels: Managing the Tradeoff between Visibility and Resource Consumption -- Flexible Online Energy Accounting in TinyOS -- TikiriDev: A UNIX-Like Device Abstraction for Contiki -- Applications II -- Location Based Wireless Sensor Services in Life Science Automation -- Hallway Monitoring: Distributed Data Processing with Wireless Sensor Networks -- senSebuddy: A Buddy to Your Wireless Sensor Network -- Communication and MAC -- Evaluation of an Electronically Switched Directional Antenna for Real-World Low-Power Wireless Networks -- Implementation and Evaluation of Combined Positioning and Communication -- SPIDA: A Direction-Finding Antenna for Wireless Sensor Networks -- Testing Selective Transmission with Low Power Listening -- An Experimental Study on IEEE 802.15.4 Multichannel Transmission to Improve RSSI–Based Service Performance -- Poster and Demonstration Abstracts -- Multicasting Enabled Routing Protocol Optimized for Wireless Sensor Networks -- GINSENG - Performance Control in Wireless Sensor Networks -- LynxNet: Wild Animal Monitoring Using Sensor Networks -- Demo Abstract: Bridging the Gap between Simulated Sensor Nodes and the Real World -- A Mote-in-the-Loop Approach for Exploring Communication Strategies for Sensor Networks -- The Deployment of TikiriDB for Monitoring Palm Sap Production -- Cooperative Virtual Memory for Sensor Nodes -- GinConf: A Configuration and Execution Interface for Wireless Sensor Network in Industrial Context -- EdiMote: A Flexible Sensor Node Prototyping and Profiling Tool -- Virtual Sensor WPAN on Demand -- TikiriAC: Node-Level Equally Distributed Access Control for Shared Sensor Networks. |
| Record Nr. | UNISA-996466010703316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Real-World Wireless Sensor Networks [[electronic resource] ] : 4th International Workshop, REALWSN 2010, Colombo, Sri Lanka, December 16-17, 2010, Proceedings / / edited by Pedro José Marron, Thiemo Voigt, Peter Corke, Luca Mottola
| Real-World Wireless Sensor Networks [[electronic resource] ] : 4th International Workshop, REALWSN 2010, Colombo, Sri Lanka, December 16-17, 2010, Proceedings / / edited by Pedro José Marron, Thiemo Voigt, Peter Corke, Luca Mottola |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
| Descrizione fisica | 1 online resource (XII, 220 p. 101 illus.) |
| Disciplina | 004.6 |
| Collana | Computer Communication Networks and Telecommunications |
| Soggetto topico |
Computer communication systems
Artificial intelligence Software engineering Computer simulation Data mining Special purpose computers Computer Communication Networks Artificial Intelligence Software Engineering Simulation and Modeling Data Mining and Knowledge Discovery Special Purpose and Application-Based Systems |
| ISBN |
1-280-39063-8
9786613568557 3-642-17520-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Applications I -- K2: A System for Campaign Deployments of Wireless Sensor Networks -- TigerCENSE: Wireless Image Sensor Network to Monitor Tiger Movement -- Motes in the Jungle: Lessons Learned from a Short-Term WSN Deployment in the Ecuador Cloud Forest -- Deploying Wireless Sensor Networking Technology in a Rescue Team Context -- OS Support and Programming -- Visibility Levels: Managing the Tradeoff between Visibility and Resource Consumption -- Flexible Online Energy Accounting in TinyOS -- TikiriDev: A UNIX-Like Device Abstraction for Contiki -- Applications II -- Location Based Wireless Sensor Services in Life Science Automation -- Hallway Monitoring: Distributed Data Processing with Wireless Sensor Networks -- senSebuddy: A Buddy to Your Wireless Sensor Network -- Communication and MAC -- Evaluation of an Electronically Switched Directional Antenna for Real-World Low-Power Wireless Networks -- Implementation and Evaluation of Combined Positioning and Communication -- SPIDA: A Direction-Finding Antenna for Wireless Sensor Networks -- Testing Selective Transmission with Low Power Listening -- An Experimental Study on IEEE 802.15.4 Multichannel Transmission to Improve RSSI–Based Service Performance -- Poster and Demonstration Abstracts -- Multicasting Enabled Routing Protocol Optimized for Wireless Sensor Networks -- GINSENG - Performance Control in Wireless Sensor Networks -- LynxNet: Wild Animal Monitoring Using Sensor Networks -- Demo Abstract: Bridging the Gap between Simulated Sensor Nodes and the Real World -- A Mote-in-the-Loop Approach for Exploring Communication Strategies for Sensor Networks -- The Deployment of TikiriDB for Monitoring Palm Sap Production -- Cooperative Virtual Memory for Sensor Nodes -- GinConf: A Configuration and Execution Interface for Wireless Sensor Network in Industrial Context -- EdiMote: A Flexible Sensor Node Prototyping and Profiling Tool -- Virtual Sensor WPAN on Demand -- TikiriAC: Node-Level Equally Distributed Access Control for Shared Sensor Networks. |
| Record Nr. | UNINA-9910483655403321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Robotics Research [[electronic resource] ] : The 16th International Symposium ISRR / / edited by Masayuki Inaba, Peter Corke
| Robotics Research [[electronic resource] ] : The 16th International Symposium ISRR / / edited by Masayuki Inaba, Peter Corke |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XIV, 701 p. 298 illus., 33 illus. in color.) |
| Disciplina | 629.892 |
| Collana | Springer Tracts in Advanced Robotics |
| Soggetto topico |
Robotics
Automation Artificial intelligence Robotics and Automation Artificial Intelligence |
| ISBN | 3-319-28872-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Control -- Design.-Intelligence And Learning -- Manipulation -- Planning. |
| Record Nr. | UNINA-9910254251303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||