This paper reviews the potential benefits that can be obtained by the implementation of data fusion in a multi-sensor environment. A thorough review of the commonly used data fusion frameworks is presented together with important factors that need to be considered during the development of an effective data fusion problem-solving strategy. A system-based approach is defined for the application of data fusion systems within engineering. Structured guidelines for users are proposed
Many applications use sensors to capture an image of the real world, which is needed for automatical...
In this article we provided a new foundation for data fusion based on two concepts: a conceptual fra...
Data fusion is the integration and analysis of data from multiple sensors to develop a more accurate...
This paper reviews the potential benefits that can be obtained by the implementation of data fusion ...
This paper reviews the potential benefits that can be obtained by the implementation of data fusion ...
The UK OST Technology Foresight for defence and aerospace identified multi-sensor data fusion as a f...
“The original publication is available at www.springerlink.com”. Copyright Springer DOI: 10.1007/s00...
Abstract. An overview of data fusion approaches is provided from the signal processing viewpoint. Th...
Abstract. An overview of data fusion approaches is provided from the signal processing viewpoint. Th...
An overview of data fusion approaches is provided from the signal processing viewpoint. The general ...
The information fusion technique can integrate a large amount of data and knowledge representing the...
The information fusion technique can integrate a large amount of data and knowledge representing the...
Sensor Data Fusion is the process of combining incomplete and imperfect pieces of mutually complemen...
The information fusion technique can integrate a large amount of data and knowledge representing the...
This article discusses about the developing paradigms of data for sensor-actuator networks that perf...
Many applications use sensors to capture an image of the real world, which is needed for automatical...
In this article we provided a new foundation for data fusion based on two concepts: a conceptual fra...
Data fusion is the integration and analysis of data from multiple sensors to develop a more accurate...
This paper reviews the potential benefits that can be obtained by the implementation of data fusion ...
This paper reviews the potential benefits that can be obtained by the implementation of data fusion ...
The UK OST Technology Foresight for defence and aerospace identified multi-sensor data fusion as a f...
“The original publication is available at www.springerlink.com”. Copyright Springer DOI: 10.1007/s00...
Abstract. An overview of data fusion approaches is provided from the signal processing viewpoint. Th...
Abstract. An overview of data fusion approaches is provided from the signal processing viewpoint. Th...
An overview of data fusion approaches is provided from the signal processing viewpoint. The general ...
The information fusion technique can integrate a large amount of data and knowledge representing the...
The information fusion technique can integrate a large amount of data and knowledge representing the...
Sensor Data Fusion is the process of combining incomplete and imperfect pieces of mutually complemen...
The information fusion technique can integrate a large amount of data and knowledge representing the...
This article discusses about the developing paradigms of data for sensor-actuator networks that perf...
Many applications use sensors to capture an image of the real world, which is needed for automatical...
In this article we provided a new foundation for data fusion based on two concepts: a conceptual fra...
Data fusion is the integration and analysis of data from multiple sensors to develop a more accurate...