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Proceedings of the Third International Conference on Information Fusion, 2000
Compares different fusion processes in terms of error probability and robustness. To begin with, simple fusion operators are studied within the general framework of two binary sensors (maximum likelihood, and logical fusion functions like 'OR' and 'AND').
J.-F. Grandin, M. Marques
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Compares different fusion processes in terms of error probability and robustness. To begin with, simple fusion operators are studied within the general framework of two binary sensors (maximum likelihood, and logical fusion functions like 'OR' and 'AND').
J.-F. Grandin, M. Marques
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A new divergence measure for belief functions in D-S evidence theory for multisensor data fusion
Information Sciences, 2020Dempster–Shafer (D–S) evidence theory is useful for handling uncertainty problems in multisensor data fusion. However, the question of how to handle highly conflicting evidence in D–S evidence theory is still an open issue.
Fuyuan Xiao
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Conference Proceedings 1991 IEEE International Conference on Systems, Man, and Cybernetics, 2002
An adaptive algorithm for multi-sensor/data fusion is developed. The algorithm can be employed in an uncertain sensed environment using imperfect sensors. Assuming little prior information about the sensed environment and the sensors, the algorithm adaptively adjusts the weights for the best fusion of inaccurate information provided by the multiple ...
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An adaptive algorithm for multi-sensor/data fusion is developed. The algorithm can be employed in an uncertain sensed environment using imperfect sensors. Assuming little prior information about the sensed environment and the sensors, the algorithm adaptively adjusts the weights for the best fusion of inaccurate information provided by the multiple ...
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Proceedings of the VLDB Endowment, 2011
The Web contains a significant volume of structured data in various domains, but a lot of data are dirty and erroneous, and they can be propagated through copying. While data integration techniques allow querying structured data on the Web, they take the union of the answers retrieved from different sources and can thus return conflicting information ...
Liu, X. +3 more
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The Web contains a significant volume of structured data in various domains, but a lot of data are dirty and erroneous, and they can be propagated through copying. While data integration techniques allow querying structured data on the Web, they take the union of the answers retrieved from different sources and can thus return conflicting information ...
Liu, X. +3 more
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1998
The main objective of multisensor data fusion is to combine elements of raw data from multiple sensors to extract the greatest amount of information possible about the sensed environment which is greater than the sum of its contributing parts. In the literal sense, data refers to the actual measurements taken or information obtained by the sensors and ...
A. Nejat Ince +3 more
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The main objective of multisensor data fusion is to combine elements of raw data from multiple sensors to extract the greatest amount of information possible about the sensed environment which is greater than the sum of its contributing parts. In the literal sense, data refers to the actual measurements taken or information obtained by the sensors and ...
A. Nejat Ince +3 more
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2008
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.
Hugh Durrant-Whyte, Thomas C. Henderson
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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.
Hugh Durrant-Whyte, Thomas C. Henderson
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2017
The technology of multisensor data fusion seeks to combine information coming from multiple and different sources/sensors, resulting in an enhanced overall system performance with respect to separate sensors/sources. Multisensor data fusion has gained in importance over the last decades and found applications in an impressive variety of areas within
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The technology of multisensor data fusion seeks to combine information coming from multiple and different sources/sensors, resulting in an enhanced overall system performance with respect to separate sensors/sources. Multisensor data fusion has gained in importance over the last decades and found applications in an impressive variety of areas within
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2010
Ensuring high quality data when collecting and integrating information from heterogeneous sources into a data warehouse is a challenging problem. In this paper, we propose a model for XML data fusion, which allows the integrator to define data cleaning rules for solving value conflicts that may have been detected during the integration process.
Frantchesco Cecchin +2 more
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Ensuring high quality data when collecting and integrating information from heterogeneous sources into a data warehouse is a challenging problem. In this paper, we propose a model for XML data fusion, which allows the integrator to define data cleaning rules for solving value conflicts that may have been detected during the integration process.
Frantchesco Cecchin +2 more
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1991
Abstract : Standardized terminology for common communications in the field of data fusion. Since language and usage often underlie communication problems, the purpose of this lexicon is to provide some common terminology for theoreticians, developers and users involved in the field of data fusion.
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Abstract : Standardized terminology for common communications in the field of data fusion. Since language and usage often underlie communication problems, the purpose of this lexicon is to provide some common terminology for theoreticians, developers and users involved in the field of data fusion.
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