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Application of Multi-Sensor Data Fusion and Machine Learning for Early Warning of Cambrian Limestone Water Hazards. [PDF]
Sensors (Basel)Li H, Li Y, Lin W, Yang H, Liu K.
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ACM Computing Surveys, 2009
The development of the Internet in recent years has made it possible and useful to access many different information systems anywhere in the world to obtain information. While there is much research on the integration of heterogeneous information systems, most commercial systems stop short of the actual integration of available data. Data fusion is the
Jens Bleiholder, Felix Naumann
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The development of the Internet in recent years has made it possible and useful to access many different information systems anywhere in the world to obtain information. While there is much research on the integration of heterogeneous information systems, most commercial systems stop short of the actual integration of available data. Data fusion is the
Jens Bleiholder, Felix Naumann
+4 more sources
Electronics & Communication Engineering Journal, 1997
Multisensor data fusion is a key enabling technology in which information from a number of sources is integrated to form a unified picture [1]. This concept has been applied to numerous fields and new applications are being explored constantly. Even though most multisensor data fusion applications have been developed relatively recently, the notion of ...
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Multisensor data fusion is a key enabling technology in which information from a number of sources is integrated to form a unified picture [1]. This concept has been applied to numerous fields and new applications are being explored constantly. Even though most multisensor data fusion applications have been developed relatively recently, the notion of ...
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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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International Journal of Distributed Systems and Technologies, 2016
Internet of Things (IoT) has gained substantial attention recently and play a significant role in smart city application deployments. A number of such smart city applications depend on sensor fusion capabilities in the cloud from diverse data sources.
Wang, Meisong +6 more
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Internet of Things (IoT) has gained substantial attention recently and play a significant role in smart city application deployments. A number of such smart city applications depend on sensor fusion capabilities in the cloud from diverse data sources.
Wang, Meisong +6 more
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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
openaire +1 more source