Results 21 to 30 of about 27,342,342 (247)
Multi-Sensor Data Fusion Approach for Kinematic Quantities
Energies, 2022 A theoretical framework to implement multi-sensor data fusion methods for kinematic quantities is proposed. All methods defined through the framework allow the combination of signals obtained from position, velocity and acceleration sensors addressing ...
Mauro D’Arco, Martina Guerritore
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Computational Mechanism Design for Information Fusion within Sensor Networks
, 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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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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Multi-resolution, multi-sensor image fusion: general fusion framework [PDF]
, 2011 Multi-resolution image fusion also known as pansharpening aims to include spatial information from a high resolution image, e.g. panchromatic or Synthetic Aperture Radar (SAR) image, into a low resolution image, e.g.
Palubinskas, Gintautas +3 more
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IEEE Access, 2018 Deep learning has been widely used to fuse multi-sensor data for classification. However, current deep learning architecture for multi-sensor data fusion might not always perform better than single data source, especially for the fusion of hyperspectral ...
Wenzhi Liao +5 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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Research on multisensor high precision data fusion algorithm for mobile robot
Dianzi Jishu Yingyong, 2018 In this paper, based on fuzzy proximity data fusion algorithm, the algorithm of multi-sensor high precision data fusion for mobile robot is studied. The estimated value and the measured value are fuzzy, and the fuzzy lattice close degree is calculated ...
Ren Jie
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Research on underground multi-system fusion method for coal mine safety monitoring and control
Gong-kuang zidonghua, 2018 According to the requirements for underground multi-system fusion of Technology schemes of upgrading of coal mine safety monitoring and control system, and for the problem that fusion degree of underground monitoring and control system was not high, a ...
QI Xiaoxiao, GUO Youmin, QI Jinping
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Multilevel Structure Extraction-Based Multi-Sensor Data Fusion
Remote Sensing, 2020 Multi-sensor data on the same area provide complementary information, which is helpful for improving the discrimination capability of classifiers. In this work, a novel multilevel structure extraction method is proposed to fuse multi-sensor data.
Puhong Duan +3 more
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Review of the mathematical foundations of data fusion techniques in surface metrology [PDF]
, 2015 The recent proliferation of engineered surfaces, including freeform and structured surfaces, is challenging current metrology techniques. Measurement using multiple sensors has been proposed to achieve enhanced benefits, mainly in terms of spatial ...
Wang, Jian +4 more
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