Results 11 to 20 of about 130,809 (315)
Notion and structure of sensor data fusion [PDF]
, 2022 S.1-27Sensor data fusion is an omnipresent phenomenon that existed prior to its technological realization or the scientific reflection on it. In fact, all living creatures, including human beings, by nature or intuitively perform sensor data fusion. Each
Koch, W.
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Computational Mechanism Design for Information Fusion within Sensor Networks [PDF]
, 2006 Conventional centralised information fusion and control architectures will be challenged by developments in sensor networks that allow sophisticated autonomous sensors, owned by different stakeholders with individual goals, to interact and share ...
S. Reece +16 more
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Improving fusion of surveillance images in sensor networks using independent component analysis [PDF]
, 2007 In this paper we present a novel algorithm for fusion of multimodal surveillance images, based on ICA, which has an improved performance over sensor networks.
Cvejic, N, Canagarajah, CN, Bull, DR
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Multi-sensor data fusion for urban area classification [PDF]
, 2011 Nowadays many sensors for information acquisition are widely employed in remote sensing and different properties of the objects can be revealed. Unfortunately each imaging sensor has its own limits on scene recognition in the sense of thematic, temporal,
Palubinskas, Gintautas +5 more
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Redundant Dissimilar Sensor Fusion with Dynamic Driver Input Classification and Graceful Degradation for Drive-by-Wire Applications [PDF]
, 2010 Dissimilar sensor redundancy with force and displacement measurements can provide extended fault coverage for drive-by-wire applications. However, large variances occur when correlating these inputs in dynamic measurements.
Sturm, Stefan +5 more
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Sensor fusion with high‐order moments constraints using projection‐based neural network
IET Signal Processing, 2021 The existing sensor fusion methods mainly follow two approaches, including Gaussian and Non‐Gaussian‐based sensor fusion approaches. In the first approach, fusion weights are determined based on the second moment.
Yousef Alipouri +2 more
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Sensors, 2023 This paper is concerned with the estimation of correlated noise and packet dropout for information fusion in distributed sensing networks. By studying the problem of the correlation of correlated noise in sensor network information fusion, a matrix ...
Weichen Shang +4 more
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Multi-sensor remote sensing information fusion for urban area classification and change detection [PDF]
, 2011 Information extraction from multi-sensor remote sensing imagery is an important and challenging task for many applications such as urban area mapping and change detection. A special acquisition (orthogonal) geometry is of great importance for optical and
Palubinskas, Gintautas +5 more
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Journal of Marine Science and Engineering, 2023 The safe navigation of unmanned surface vehicles in the marine environment requires multi-sensor collaborative perception, and multi-sensor data fusion technology is a prerequisite for realizing the collaborative perception of different sensors.
Shuanghu Qiao +3 more
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Radar Voxel Fusion for 3D Object Detection
Applied Sciences, 2021 Automotive traffic scenes are complex due to the variety of possible scenarios, objects, and weather conditions that need to be handled. In contrast to more constrained environments, such as automated underground trains, automotive perception systems ...
Felix Nobis +4 more
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