Results 31 to 40 of about 71,058 (310)
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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Notion and structure of sensor data fusion
, 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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A Systematic Review on Fusion Techniques and Approaches Used in Applications
IEEE Access, 2020 Fusion technologies have rapidly evolved. These technologies are normally customized according to the needs of domains. Despite a large number of publications on intelligence fusion applications for various domains, they are scattered.
Shaidah Jusoh, Sufyan Almajali
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A Weighted Belief Entropy-Based Uncertainty Measure for Multi-Sensor Data Fusion. [PDF]
Sensors (Basel), 2017 In real applications, how to measure the uncertain degree of sensor reports before applying sensor data fusion is a big challenge. In this paper, in the frame of Dempster–Shafer evidence theory, a weighted belief entropy based on Deng entropy is proposed
Tang Y, Zhou D, Xu S, He Z.
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Multi-Sensor Context-Aware Clothing [PDF]
, 2002 Inspired by perception in biological systems,distribution of a massive amount of simple sensingdevices is gaining more support in detectionapplications.
Van Laerhoven, Kristof +10 more
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Multi-sensor Data Fusion Using the Influence Model [PDF]
International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06), 2006 System robustness against individual sensor failures is an important concern in multi-sensor networks. Unfortunately, the complexity of using the remaining sensors to interpolate missing sensor data grows exponentially due to the "curse of dimensionality".
Wen Dong 0001, Alex Pentland
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Application of Multi-sensor Data Fusion in Greenhouse [PDF]
Internet of Things and Cloud Computing, 2021 With the development of communication, computer and sensor technology, the application of Internet of things technology to agricultural monitoring is the trend of modern agricultural development. Real time and accurate acquisition of farmland environmental information is the basis of precision operation and intelligent management of agriculture, and it
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A Survey of the Multi-Sensor Fusion Object Detection Task in Autonomous Driving
SensorsMulti-sensor fusion object detection is an advanced method that improves object recognition and tracking accuracy by integrating data from different types of sensors.
Hai Wang +3 more
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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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