Results 281 to 290 of about 71,058 (310)
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Multi-sensor data fusion in defence and aerospace
The Aeronautical Journal, 1998AbstractThe UK OST Technology Foresight for defence and aerospace identified multi-sensor data fusion as a future critical enabling technology for the UK, requiring a coordinated research agenda. This review paper provides an overview of past research and applications of data fusion.
Harris, C.J., Bailey, A., Dodd, T.J.
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Clustering Methods for Multi-sensor Data Fusion
2012 International Conference on Industrial Control and Electronics Engineering, 2012In the network-centric warfare, the complete battlefield situation information and attack information for weapons can be collected and calculated by multiple sensor platforms, and the results can be distributed to the command and control systems and weapon platforms to complete target attack tasks.
Liu Han, Zhang Lei
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Context-Awareness for Multi-sensor Data Fusion in Smart Environments
2016Multi-sensor data fusion is extensively used to merge data collected by heterogeneous sensors deployed in smart environments. However, data coming from sensors are often noisy and inaccurate, and thus probabilistic techniques, such as Dynamic Bayesian Networks, are often adopted to explicitly model the noise and uncertainty of data.
DE PAOLA, Alessandra +3 more
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Multi-Sensor Data Fusion (MSDF)
2017The Data Fusion Model maintained by the JDL (Joint Directors of Laboratories) Data Fusion Group is the most widely-used method for categorizing data fusion-related functions. This paper discusses the current effort to revise and expand this model to facilitate the cost-effective development, acquisition, integration and operation of multi-sensor/multi ...
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Multi-sensor data fusion in automotive applications
2008 3rd International Conference on Sensing Technology, 2008The application of environment sensor systems in modern - often called ldquointelligentrdquo - cars is regarded as a promising instrument for increasing road traffic safety. Based on a context perception enabled by well-known technologies such as radar, laser or video, these cars are able to detect threats on the road, anticipate emerging dangerous ...
Thomas Herpel +3 more
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Sensor Modeling and Multi-Sensor Data Fusion
2005Abstract : This research report presents a novel strategy to develop a sensor model based on a probabilistic approach that would accurately provide information about individual sensor's uncertainties and limitations. The strategy also establishes the dependence of sensor's uncertainties on some of environmental parameters or parameters of any feature ...
Manish Kumar, Devendra P. Garg
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Efficient data fusion for multi-sensor management
2001 IEEE Aerospace Conference Proceedings (Cat. No.01TH8542), 2002This paper is concerned with the development of a general framework for the management of multiple sensors in tracking a single target. To achieve this aim we draw on concepts from data fusion, particle filtering and heuristic optimization. Previous work gave the multi-sensor fusion management algorithm which provided a rigid scheme under which sensors
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Multi-temporal Multi-sensor Data Fusion
2014Landsat data offered a great help in mapping a lot of vegetation parameters at 30 m spatial resolution but unfortunately does not provide daily coverage (it has a 16 day revisit cycle). This is a major obstacle for monitoring short term disturbances and changes in vegetation characteristics through time.
Ghannam, Sherin, Abbott, A. Lynn
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External multi-modal imaging sensor calibration for sensor fusion: A review
Information Fusion, 2023Zhouyan Qiu +2 more
exaly
MULTI-SENSOR DATA FUSION FOR NAVIGATION
Proceedings of the 25th International Congress of Mechanical Engineering, 2019Alexandre Senni +3 more
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