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Robotics, Computer Vision and Intelligent Systems : 4th International Conference, ROBOVIS 2024, Rome, Italy, February 25-27, 2024, Proceedings
Robotics, Computer Vision and Intelligent Systems : 4th International Conference, ROBOVIS 2024, Rome, Italy, February 25-27, 2024, Proceedings
Autore Filipe Joaquim
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2024
Descrizione fisica 1 online resource (490 pages)
Altri autori (Persone) RöningJuha
Collana Communications in Computer and Information Science Series
ISBN 3-031-59057-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Invited Speakers -- Learning with Privileged Information and Distillation for Multimodal Video Classification -- There's Plenty of Room at the Bottom: Opportunites and Challenges for Microrobotics -- Physical Models and Machine Learning for Photography and Astronomy -- Contents -- Compute Optimal Waiting Times for Collaborative Route Planning -- 1 Introduction -- 2 Related Work -- 3 Optimal Waiting Times -- 3.1 Introductory Considerations -- 3.2 Model and Definitions -- 3.3 The Idea -- 3.4 The Algorithm -- 4 Extending the Approach for Collaborative Routing -- 4.1 Introduction -- 4.2 Critical Collisions -- 4.3 Resolving Critical Collisions -- 4.4 Putting All Together -- 5 Evaluation -- 6 Conclusions -- References -- Robot Vision and Deep Learning for Automated Planogram Compliance in Retail -- 1 Introduction -- 2 Images Capturing and Shelves Image Reconstruction -- 2.1 Robot Vision System and Images Capturing -- 2.2 Shelves Image Reconstruction -- 3 Planogram and Database -- 4 Object Detection -- 5 Planogram Compliance -- 6 Experimental Results -- 7 Conclusions -- References -- Park Marking Detection and Tracking Based on a Vehicle On-Board System of Fisheye Cameras -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Surround View System -- 3.2 Park Marking Detection -- 3.3 3D Ground Projection -- 3.4 Tracking and Multi-camera Fusion -- 4 Experiments -- 4.1 Dataset -- 4.2 Quantitative Results -- 4.3 Qualitative Results -- 5 Conclusions -- References -- Analysis of Age Invariant Face Recognition Efficiency Using Face Feature Vectors -- 1 Introduction -- 2 Previous Work -- 3 Face Recognition Methods -- 3.1 InsightFace -- 4 Datasets -- 4.1 AgeDB -- 4.2 CASIA -- 4.3 LFW -- 5 Measurements Used in the Experiments -- 5.1 Similarity Between FFVs -- 5.2 Mean Average Precision -- 5.3 Bhattacharyya Measurements.
6 Results -- 6.1 Similarity Distributions -- 6.2 Pipeline Performance -- 6.3 Age Group Performance -- 6.4 Correlation Between Measurements -- 7 Discussion -- 8 Conclusion -- 8.1 Future Work -- References -- Uncertainty Driven Active Learning for Image Segmentation in Underwater Inspection -- 1 Introduction -- 2 Related Work -- 3 Method -- 4 Experimental Evaluation -- 5 Conclusion -- References -- Enhancing Connected Cooperative ADAS: Deep Learning Perception in an Embedded System Utilizing Fisheye Cameras -- 1 Introduction -- 2 Related Work -- 3 System Architecture -- 4 Perception -- 4.1 Embedded Computing -- 5 V2X Communication -- 6 LDM -- 7 Applications -- 8 Experiments and Results -- 8.1 Experimental Setup -- 8.2 Perception Evaluation -- 8.3 Communication Evaluation -- 8.4 System Limits -- 9 Conclusions -- References -- Weapon Detection Using PTZ Cameras -- 1 Introduction -- 2 Related Work -- 3 Tracking/Zoom System -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Model Training -- 4.3 Results -- 5 Conclusions and Future Work -- References -- Improving Semantic Mapping with Prior Object Dimensions Extracted from 3D Models -- 1 Introduction -- 2 Method Description -- 2.1 The Overall Semantic Mapping Process -- 2.2 Prior Knowledge -- 2.3 2D Geometric Association Method -- 2.4 Algorithm Description -- 3 Experimentation -- 3.1 Experimental Setup -- 3.2 Tuning the Scoring Function Weights -- 3.3 Evaluation of Polygon Simplification and Foreground Edges Selection -- 3.4 Evaluation of the Association Algorithm -- 4 Conclusion and Perspectives -- References -- Offline Deep Model Predictive Control (MPC) for Visual Navigation -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Simulation Environment -- 3.2 Future Image Prediction, ViewNet -- 3.3 Control Policy with VelocityNet -- 3.4 Training VelocityNet.
3.5 Visual Trajectory Following with VelocityNet, Control Algorithm -- 4 Experimental Setup -- 4.1 Network Structure -- 4.2 Training -- 4.3 Parameters -- 5 Results Analysis -- 5.1 Linear Translation -- 5.2 Pure Rotation -- 5.3 Combined Translation and Rotation -- 5.4 Statistical Analysis -- 6 Conclusion -- References -- BiGSiD: Bionic Grasping with Edge-AI Slip Detection -- 1 Introduction -- 2 Related Work -- 3 Data Collection -- 3.1 Hardware Setting -- 3.2 Dataset -- 4 Proposed Method and Training the Model -- 4.1 Proposed Method -- 4.2 Training the Model -- 4.3 Experiments and Results -- 5 AI Edge-Device -- 5.1 Bringing AI to the Edge-Device -- 6 Conclusion -- References -- GAT-POSE: Graph Autoencoder-Transformer Fusion for Future Pose Prediction -- 1 Introduction -- 2 Related Works -- 2.1 Probabilistic Prediction -- 2.2 Deterministic Prediction -- 3 Methodology -- 3.1 Problem Formulation -- 3.2 Tokenization -- 3.3 Transformer Autoencoder with Future Masking -- 4 Experiment and Evaluation -- 4.1 Human3.6M -- 4.2 Evaluation Metrics -- 4.3 Results and Comparative Analysis -- 5 Conclusions and Future Work -- References -- UCorr: Wire Detection and Depth Estimation for Autonomous Drones -- 1 Introduction -- 2 Related Work -- 2.1 Wire Detection -- 2.2 Depth Estimation -- 3 Method -- 3.1 Motivation -- 3.2 UCorr Network Architecture -- 3.3 Loss Function -- 4 Experiments -- 4.1 Data -- 4.2 Metrics -- 4.3 Training -- 4.4 Results -- 4.5 Ablation Studies -- 5 Discussion -- 6 Conclusion -- References -- A Quality-Based Criteria for Efficient View Selection -- 1 Introduction -- 2 Next-Best-View Selection -- 3 Selected NBV Algorithm -- 3.1 A Global Max-Flow Based Method -- 3.2 Problem Adaptation for Accuracy Improvement -- 4 Estimation of 3D Model Quality -- 4.1 From Existing 3D Quality Metrics... -- 4.2 ...to a Quality Metric for NBV.
5 Experiments on Simulated Data -- 5.1 Experimental Setup -- 5.2 Results and Analysis -- 6 Experiments on Synthetic Images -- 6.1 Experimental Setup -- 6.2 Results and Analysis -- 7 Conclusion -- References -- Multi-UAV Weed Spraying -- 1 Introduction -- 2 Problem Definition -- 3 Proposed System -- 3.1 Clustering -- 3.2 Finding the Proper Way-Points -- 3.3 Path-Planning -- 3.4 Online Collision Avoidance -- 4 Mapping -- 5 Spraying Technical Information -- 6 Experimentation -- 7 Conclusion and Future Work -- References -- Human Comfort Factors in People Navigation: Literature Review, Taxonomy and Framework -- 1 Introduction -- 2 People Navigation: Definition, Review and Classification -- 2.1 Definitions -- 2.2 Related Systematic Review -- 2.3 Taxonomy -- 3 Human Comfort Factors in People Navigation -- 3.1 Human Comfort Factors in Navigation Systems -- 3.2 Summary of Human Comfort Factors in People Navigation -- 4 Towards a People Navigation Framework -- 4.1 Human-Aware Navigation -- 4.2 Implementing Passenger Comfort Factors -- 5 Conclusion -- References -- Region Prediction for Efficient Robot Localization on Large Maps -- 1 Introduction -- 2 Background and Related Works -- 3 Methodology -- 3.1 Map Clustering -- 3.2 Region Prediction -- 3.3 Integration in RTAB-Map -- 4 Experiments and Results -- 4.1 Prediction Accuracy -- 4.2 Loop Closure Detection -- 4.3 Pose Estimation Accuracy -- 5 Conclusions and Future Works -- References -- Utilizing Dataset Affinity Prediction in Object Detection to Assess Training Data -- 1 Introduction and Related Work -- 2 Dataset Affinity Prediction -- 3 Dataset Alignment -- 4 Evaluation -- 5 Conclusion -- References -- Optimizing Mobile Robot Navigation Through Neuro-Symbolic Fusion of Deep Deterministic Policy Gradient (DDPG) and Fuzzy Logic -- 1 Introduction -- 1.1 Deep Deterministic Policy Gradient Algorithm.
1.2 Neuro-Symbolic Approach Through Fuzzy Logic in Reward Function -- 2 Methods -- 2.1 Overview of the Hybrid System Architecture of DDPG and Fuzzy Logic -- 2.2 Constructing DDPG Agent -- 2.3 Constructing Reward Function Using Fuzzy Logic -- 2.4 Agents' Training -- 3 Experiments and Results -- 3.1 DDPG Agent Training Results -- 3.2 Mobile Robot Simulation Results -- 4 Discussions -- 4.1 Overall Reward for DDPG Training -- 4.2 Mobile Robot Simulation Performance -- 4.3 Implementation of Fuzzy Logic in Reward Function -- 5 Conclusion -- References -- DAFDeTr: Deformable Attention Fusion Based 3D Detection Transformer -- 1 Introduction -- 2 Related Work -- 2.1 LiDAR-Only Approaches -- 2.2 Multi-modal Approaches -- 3 Methodology -- 3.1 Backbones -- 3.2 LiDAR Encoder -- 3.3 Query Initialization -- 3.4 LiDAR Decoder -- 3.5 Image Decoder -- 3.6 Loss -- 4 Experiments -- 4.1 Implementation Details -- 4.2 Results and Discussion -- 4.3 Ablation Studies -- 4.4 Qualitative Results -- 5 Conclusion -- References -- MDC-Net: Multimodal Detection and Captioning Network for Steel Surface Defects -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Dataset Description -- 3.2 Dataset Preprocessing -- 3.3 Model Architecture -- 4 Implementation and Training -- 4.1 Hyperparameter Optimization -- 4.2 Reproducibility and Model Consistency -- 4.3 Loss Function and Optimization -- 5 Results and Discussion -- 6 Conclusion and Future Direction -- References -- Operational Modeling of Temporal Intervals for Intelligent Systems -- 1 Introduction -- 2 Proposed Approach -- 3 Application and Discussion -- 4 Conclusions -- References -- A Meta-MDP Approach for Information Gathering Heterogeneous Multi-agent Systems -- 1 Introduction -- 2 Background -- 2.1 Markov Decision Process -- 2.2 Partially Observable Markov Decision Process -- 3 Model -- 3.1 The Exploration POMDPs.
3.2 The Meta-MDP.
Record Nr. UNINA-9910857796303321
Filipe Joaquim  
Cham : , : Springer International Publishing AG, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Secure IT Systems [[electronic resource] ] : 21st Nordic Conference, NordSec 2016, Oulu, Finland, November 2-4, 2016. Proceedings / / edited by Billy Bob Brumley, Juha Röning
Secure IT Systems [[electronic resource] ] : 21st Nordic Conference, NordSec 2016, Oulu, Finland, November 2-4, 2016. Proceedings / / edited by Billy Bob Brumley, Juha Röning
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (X, 269 p. 43 illus.)
Disciplina 005.8
Collana Security and Cryptology
Soggetto topico Computer security
Data encryption (Computer science)
Biometrics (Biology)
Algorithms
Computers and civilization
Systems and Data Security
Cryptology
Biometrics
Algorithm Analysis and Problem Complexity
Computers and Society
ISBN 3-319-47560-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Security -- System Security -- Network Security -- Software Security -- Cryptography -- Authentication.
Record Nr. UNISA-996465315603316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Secure IT Systems : 21st Nordic Conference, NordSec 2016, Oulu, Finland, November 2-4, 2016. Proceedings / / edited by Billy Bob Brumley, Juha Röning
Secure IT Systems : 21st Nordic Conference, NordSec 2016, Oulu, Finland, November 2-4, 2016. Proceedings / / edited by Billy Bob Brumley, Juha Röning
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (X, 269 p. 43 illus.)
Disciplina 005.8
Collana Security and Cryptology
Soggetto topico Computer security
Data encryption (Computer science)
Biometrics (Biology)
Algorithms
Computers and civilization
Systems and Data Security
Cryptology
Biometrics
Algorithm Analysis and Problem Complexity
Computers and Society
ISBN 3-319-47560-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Security -- System Security -- Network Security -- Software Security -- Cryptography -- Authentication.
Record Nr. UNINA-9910483443003321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui