Results 61 to 70 of about 3,083,050 (398)
An Incentive Scheme for Sensor Fusion With Strategic Sensors
IEEE Transactions on Signal Processing, 2019 Distributed estimation that recruits potentially large groups of humans to collect data about a phenomenon of interest has emerged as a paradigm applicable to a broad range of detection and estimation tasks. However, it also presents a number of challenges especially with regard to user participation and data quality, since the data resources may be ...
Kewei Chen +3 more
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An Overview of IoT Sensor Data Processing, Fusion, and Analysis Techniques
Sensors, 2020 In the recent era of the Internet of Things, the dominant role of sensors and the Internet provides a solution to a wide variety of real-life problems.
Rajalakshmi Krishnamurthi +4 more
doaj +1 more source
A reliability-based track fusion algorithm. [PDF]
PLoS ONE, 2015 The common track fusion algorithms in multi-sensor systems have some defects, such as serious imbalances between accuracy and computational cost, the same treatment of all the sensor information regardless of their quality, high fusion errors at ...
Li Xu +4 more
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Decentralized and Asymmetric Multi-Agent Learning in Construction Sites
IEEE Open Journal of Vehicular TechnologyMulti-agent collaboration involves multiple participants working together in a shared environment to achieve a common goal. These agents share information, divide tasks, and synchronize their actions.
Yakov Miron +4 more
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Sensors, 2014 Today, clinicians often do diagnosis and classification of diseases based on information collected from several physiological sensor signals. However, sensor signal could easily be vulnerable to uncertain noises or interferences and due to large ...
Shahina Begum +2 more
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Biometrics Sensor Fusion [PDF]
, 2010 A novel and efficient method of multisensor biometric image fusion of face and palmprint for personal authentication has been presented in this chapter. High-resolution multisensor face and palmprint images are fused using wavelet decomposition process and matching is performed by monotonic-decreasing graph drawn on invariant SIFT features.
Massimo Tistarelli +4 more
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Remote Sensing, 2018 This paper presents a novel double weight-based synthetic aperture radar (SAR) and infrared (IR) sensor fusion method (DW-SIF) for automatic ground target recognition (ATR).
Sungho Kim, Woo-Jin Song, So-Hyun Kim
doaj +1 more source
Sensor Fusion in Assistive and Rehabilitation Robotics [PDF]
Sensors, 2020 As the world’s population gradually grows older, more and more adults are experiencing sensory–motor disabilities due to stroke, traumatic brain injury, spinal cord injury and other diseases [...]
Robert Riener +3 more
openaire +6 more sources
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
doaj +1 more source
Distributed Fusion with Multi-Bernoulli Filter based on Generalized Covariance Intersection
, 2016 In this paper, we propose a distributed multi-object tracking algorithm through the use of multi-Bernoulli (MB) filter based on generalized Covariance Intersection (G-CI).
Hoseinnezhad, Reza +5 more
core +1 more source