Multisensor Data Fusion

Multisensor data fusion is the process of combining observations from a number of different sensors to provide a robust and complete description of an environment or process of interest. Data fusion finds wide application in many areas of robotics such as object recognition, environment mapping, and localization.

[1]  Gregory D. Hager,et al.  Computational Methods for Task-directed Sensor Data Fusion and Sensor Planning , 1991, Int. J. Robotics Res..

[2]  Bruce Randall Donald,et al.  Automatic sensor configuration for task-directed planning , 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.

[3]  Stefan B. Williams,et al.  A decentralized architecture for Active Sensor Networks , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[4]  J. Berger Statistical Decision Theory and Bayesian Analysis , 1988 .

[5]  V. Berge-Cherfaoui,et al.  Dynamic configuration of mobile robot perceptual system , 1994, Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems.

[6]  Nisar R. Ahmed,et al.  Bayesian Multicategorical Soft Data Fusion for Human–Robot Collaboration , 2013, IEEE Transactions on Robotics.

[7]  Stéphane Houzelle,et al.  Interpretation of Remotely Sensed Images in a Context of Multisensor Fusion , 1992, ECCV.

[8]  S. Sitharama Iyengar,et al.  Functional characterization of fault tolerant integration in distributed sensor networks , 1991, IEEE Trans. Syst. Man Cybern..

[9]  Bruno Jouvencel,et al.  Sensor selection in a fusion process: a fuzzy approach , 1994, Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems.

[10]  Frans C. A. Groen,et al.  A sensor processing model incorporating error detection and recovery , 1990 .

[11]  James Llinas,et al.  Handbook of Multisensor Data Fusion , 2001 .

[12]  Pradeep K. Khosla,et al.  Mechanisms for detecting and handling timing errors , 1997, Commun. ACM.

[13]  Michael David Naish,et al.  ELSA: An Intelligent Multisensor Integration Architecture for Industrial Grading Tasks , 1998 .

[14]  Robert X. Gao,et al.  Multisensor Data Fusion for Physical Activity Assessment , 2012, IEEE Transactions on Biomedical Engineering.

[15]  Frans C. A. Groen,et al.  Model based robot vision , 1993, 1993 IEEE Instrumentation and Measurement Technology Conference.

[16]  S. Sitharama Iyengar,et al.  A new architecture for distributed sensor integration , 1993, Proceedings of Southeastcon '93.

[17]  Sukhan Lee,et al.  Uncertainty self-management with perception net based geometric data fusion , 1997, Proceedings of International Conference on Robotics and Automation.

[18]  Maxime Lhuillier Incremental Fusion of Structure-from-Motion and GPS Using Constrained Bundle Adjustments , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[19]  H. Durrant-Whyte,et al.  The ANSER Project: Data Fusion Across Multiple Uninhabited Air Vehicles , 2003 .

[20]  Steven A. Shafer,et al.  An architecture for sensor fusion in a mobile robot , 1986, Proceedings. 1986 IEEE International Conference on Robotics and Automation.

[21]  Wei Li,et al.  Random Weighting Method for Multisensor Data Fusion , 2011, IEEE Sensors Journal.

[22]  Josef Kittler,et al.  A Unified Framework for Biometric Expert Fusion Incorporating Quality Measures , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[23]  Wendi Heinzelman,et al.  A general data fusion architecture , 2003, Sixth International Conference of Information Fusion, 2003. Proceedings of the.

[24]  K. H. Kim,et al.  Fault-tolerant real-time objects , 1997, CACM.

[25]  Tom Henderson,et al.  Logical sensor systems , 1984, J. Field Robotics.

[26]  Takeo Kanade,et al.  Gyro-aided feature tracking for a moving camera: fusion, auto-calibration and GPU implementation , 2011, Int. J. Robotics Res..

[27]  Barry W. Johnson,et al.  Safety-Critical Systems Built with COTS , 1996, Computer.

[28]  Bir Bhanu,et al.  The specification of distributed sensing and control , 1985, J. Field Robotics.

[29]  Rohit Kapur,et al.  System Test and Reliability: Techniques for Avoiding Failure (Guest Editors' Introduction) , 1996, Computer.

[30]  Prasad,et al.  Fault-tolerant sensor integration using multiresolution decomposition. , 1994, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[31]  S. A. Schneider,et al.  ControlShell: a real-time software framework , 1991, IEEE 1991 International Conference on Systems Engineering.

[32]  Bernard Espiau,et al.  Multisensor Input for CPG-Based Sensory---Motor Coordination , 2008, IEEE Transactions on Robotics.

[33]  Tom Queeney,et al.  Generic architecture for real-time multisensor fusion tracking algorithm development and evaluation , 1994, Other Conferences.

[34]  Johan A. K. Suykens,et al.  Optimized Data Fusion for Kernel k-Means Clustering , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[35]  K. Asakawa,et al.  Mobile robot control by a structured hierarchical neural network , 1990, IEEE Control Systems Magazine.

[36]  Sebastian Thrun,et al.  Probabilistic robotics , 2002, CACM.

[37]  Yaakov Bar-Shalom,et al.  Sonar tracking of multiple targets using joint probabilistic data association , 1983 .

[38]  Hugh F. Durrant-Whyte,et al.  An evidential approach to map-building for autonomous vehicles , 1998, IEEE Trans. Robotics Autom..

[39]  Hugh Durrant-Whyte,et al.  Integration, coordination, and control of multi-sensor robot systems , 1987 .

[40]  Agostino Martinelli,et al.  Vision and IMU Data Fusion: Closed-Form Solutions for Attitude, Speed, Absolute Scale, and Bias Determination , 2012, IEEE Transactions on Robotics.

[41]  S. Sitharama Iyengar,et al.  A Versatile Architecture for the Distributed Sensor Integration Problem , 1994, IEEE Trans. Computers.

[42]  Larry H. Matthies,et al.  Integration of sonar and stereo range data using a grid-based representation , 1988, Proceedings. 1988 IEEE International Conference on Robotics and Automation.

[43]  Gregory D. Hager,et al.  Task-Directed Sensor Fusion and Planning , 1990 .

[44]  Sukhan Lee,et al.  Sensor fusion and planning with perception-action network , 1996, 1996 IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems (Cat. No.96TH8242).

[45]  Alberto Elfes,et al.  Sonar-based real-world mapping and navigation , 1987, IEEE J. Robotics Autom..

[46]  Bruce Randall Donald,et al.  On Information Invariants in Robotics , 1995, Artif. Intell..

[47]  Daniel Cremers,et al.  Fast Joint Estimation of Silhouettes and Dense 3D Geometry from Multiple Images , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[48]  Bruce A. Draper,et al.  Information acquisition and fusion in the Mobile Perception Laboratory , 1993, Other Conferences.

[49]  Martin Pellkofer,et al.  EMS-Vision: a perceptual system for autonomous vehicles , 2002, IEEE Trans. Intell. Transp. Syst..

[50]  Anders Robertsson,et al.  Sensor Fusion for Compliant Robot Motion Control , 2008, IEEE Transactions on Robotics.

[51]  Homayoun Seraji,et al.  A Multisensor Decision Fusion System for Terrain Safety Assessment , 2009, IEEE Transactions on Robotics.

[52]  Yung-Yu Chuang,et al.  Cross-Domain Multicue Fusion for Concept-Based Video Indexing , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[53]  James S. Albus,et al.  RCS: A cognitive architecture for intelligent multi-agent systems☆ , 2004 .

[54]  Thomas C. Henderson,et al.  Instrumented Sensor System Architecture , 1998, Int. J. Robotics Res..

[55]  Robin R. Murphy,et al.  Introduction to AI Robotics , 2000 .

[56]  Penny Probert Smith,et al.  Distributed Real-Time Control of a Mobile Robot , 1995, Intell. Autom. Soft Comput..

[57]  V. Braitenberg Vehicles, Experiments in Synthetic Psychology , 1984 .

[58]  Bernard Espiau,et al.  Computer-aided design of a generic robot controller handling reactivity and real-time control issues , 1993, IEEE Trans. Control. Syst. Technol..

[59]  Stergios I. Roumeliotis,et al.  Optimal Motion Strategies for Range-Only Constrained Multisensor Target Tracking , 2008, IEEE Transactions on Robotics.

[60]  Moshe Kam,et al.  Sensor Fusion for Mobile Robot Navigation , 1997, Proc. IEEE.

[61]  Rodney A. Brooks,et al.  A Robust Layered Control Syste For A Mobile Robot , 2022 .

[62]  Yuichi Motai,et al.  Interpolation Volume Calibration: A Multisensor Calibration Technique for Electromagnetic Trackers , 2012, IEEE Transactions on Robotics.

[63]  Arthur C. Sanderson,et al.  Model-based multisensor data fusion: a minimal representation approach , 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.

[64]  M. Pachter,et al.  Challenges of autonomous control , 1998 .

[65]  Hugh F. Durrant-Whyte,et al.  Non-Gaussian State Estimation in an Outdoor Decentralised Sensor Network , 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

[66]  Jason Douglas Elliott Multisensor fusion within an Encapsulated Logical Devices Architecture , 2001 .

[67]  H. Sorenson,et al.  Guest editorial: On applications of Kalman filtering , 1983 .

[68]  Shaogang Gong,et al.  Incremental Activity Modeling in Multiple Disjoint Cameras , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[69]  Paul D. Gader,et al.  Context-Dependent Multisensor Fusion and Its Application to Land Mine Detection , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[70]  Hugh F. Durrant-Whyte,et al.  A Fully Decentralized Multi-Sensor System For Tracking and Surveillance , 1993, Int. J. Robotics Res..