Multisensor fusion and integration in the wake of big data, deep learning and cyber physical system : an edition of the selected papers from the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2017) /: an edition of the selected papers from the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2017). (2018)

• Record Type: Book
• Other Titles: MFI 2017
• Further Information: Note: Sukhan Lee, Hanseok Ko, Songhwai Oh, editors.
• Editors: Lee, Sukhan; Ko, Hanseok; Oh, Songhwai
• Other Names: IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (2000- ), 13th
• Contents: Intro; Preface; Contents; Multi-sensor Fusion: Theory and Practice; Covariance Projection as a General Framework of Data Fusion and Outlier Removal; Abstract; 1 Introduction; 1.1 Problem Statement; 2 Proposed Approach; 3 Confidence Measure of Data Sources; 3.1 Inconsistency Detection and Exclusion; 3.2 Effect of Correlation on d Distance; 4 Simulation Results; 5 Conclusion; Acknowledgments; Appendix 1; Appendix 2; References; State Estimation in Networked Control Systems with Delayed and Lossy Acknowledgments; 1 Introduction; 2 Problem Formulation; 3 Derivation of the Proposed Estimator. 3.1 Modeling the NCS as a Markov Jump Linear System3.2 Estimator Design; 4 Evaluation; 5 Conclusions; References; Performance of State Estimation and Fusion with Elliptical Motion Constraints; 1 Introduction; 2 System Model; 2.1 Coordinated Turn (CT) Model; 2.2 Elliptical Constraint; 2.3 Generating Constrained States; 3 Projection-Based Constrained Estimation; 3.1 Direct Connection to Ellipse Center; 3.2 Shortest Distance to Unconstrained Estimate; 4 Fusion of Constrained Estimates; 4.1 Fusion Rules; 4.2 Fusion Rules with Constrained Estimates; 5 Constrained Fusion with Information Loss. 5.1 Simulation Setup5.2 Performance; 6 Conclusions; References; Relevance and Redundancy as Selection Techniques for Human-Autonomy Sensor Fusion; 1 Introduction; 2 Related Work; 3 Theory and Background; 3.1 Preliminaries; 3.2 Relevance; 3.3 Redundancy; 3.4 Relevance and Redundancy with Specific Fusion Algorithms; 4 Empirical Tests; 4.1 Redundancy; 4.2 Relevance; 4.3 Redundancy vs. Relevance; 5 Conclusions and Future Work; References; Classification of Reactor Facility Operational State Using SPRT Methods with Radiation Sensor Networks; 1 Introduction; 2 Detection Problem; 2.1 SPRT Detection. 2.2 Stack Intensity Estimation3 IRSS Experimental Results; 3.1 IRSS Datasets; 3.2 Experimental SPRTs; 3.3 Performance Comparison; 4 HFIR Experimental Results; 4.1 HFIR Datasets and Experimental SPRTs; 4.2 Performance Comparison; 5 Performance of IE SPRT Detection Method; 5.1 Single Location Measurements; 5.2 Network Measurements; 6 Conclusion; References; Improving Ego-Lane Detection by Incorporating Source Reliability; 1 Introduction; 2 Related Work; 2.1 Multi-source Fusion for Ego-Lane Detection; 2.2 Reliability in Fusion; 3 Concept of Reliability-Aware Ego-Lane Detection. 4 Reliability for Ego-Lane Detection4.1 Requirements; 4.2 Sensor-Independent Performance Measure; 5 Learning Reliabilities of Ego-Lane Estimations; 5.1 Learning Reliability Using Classifiers; 5.2 Training Data for the Classifiers; 5.3 Feature Selection; 5.4 Applying Classifiers Towards Learning Reliability; 6 Reliability-Aware Ego-Lane Fusion; 6.1 Dempster-Shafer Theory (DST):; 6.2 Other Fusion Approaches; 7 Experimental Evaluation; 7.1 Assessment of Reliability Estimation; 7.2 Assessment Information Fusion; 7.3 Exemplary Results; 8 Conclusion; References.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2018
• Extent: 1 online resource
• Subjects: 005.74; Engineering; Multisensor data fusion -- Congresses; Intelligent control systems -- Congresses; Big data -- Congresses; Cooperating objects (Computer systems) -- Congresses; COMPUTERS -- General; Big data; Cooperating objects (Computer systems); Intelligent control systems; Multisensor data fusion; Computers -- Intelligence (AI) & Semantics; Technology & Engineering -- Robotics; Artificial intelligence; Robotics; Telecommunication; Technology & Engineering -- Telecommunications; Communications engineering / telecommunications; Electronic books; Conference papers and proceedings
• Languages: English
• ISBNs: 9783319905099; 3319905090
• Related ISBNs: 9783319905082; 3319905082
• Notes: Note: Online resource; title from PDF title page (SpringerLink, viewed July 13, 2018).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.