Results 21 to 30 of about 2,112 (214)
Compressive data fusion for multi-sensor image analysis [PDF]
2014 IEEE International Conference on Image Processing (ICIP), 2014 Multiple views of a scene — obtained via different sensing modalities — have the potential to significantly enhance image analysis for remote sensing and other applications. This benefit is expected to be significant if the multiple views are providing independent, yet useful, information about the underlying classes in a scene.
Saurabh Prasad +2 more
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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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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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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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Multi-Sensor Optimal Data Fusion Based on the Adaptive Fading Unscented Kalman Filter
Sensors, 2018 This paper presents a new optimal data fusion methodology based on the adaptive fading unscented Kalman filter for multi-sensor nonlinear stochastic systems.
Bingbing Gao +4 more
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UAV Positioning Based on Multi-Sensor Fusion
IEEE Access, 2020 Real-time and stable positioning data is essential for the UAV to perform various tasks. The traditional multi-sensor data fusion algorithm needs to know the measurement noise of sensor data, and even if there are corresponding adaptive methods to ...
Jing Peng +3 more
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Multi-Sensor Data Fusion Method Based on Improved Evidence Theory
Journal of Marine Science and Engineering, 2023 To achieve autonomous navigation in complex marine environments, unmanned surface vehicles are equipped with a variety of sensors for sensing the surrounding environment and their own state. To address the issue of unsatisfactory multi-sensor information
Shuanghu Qiao +3 more
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Multi‐vehicle multi‐sensor occupancy grid map fusion in vehicular networks
IET Communications, 2022 Sensing is an essential part in autonomous driving and intelligent transportation systems. It enables the vehicle to better understand itself and its surrounding environment.
Xi Meng, Dongliang Duan, Tao Feng
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