The IMU Augment SLAM on Unmanned Vehicle for Detection of Protective Measures in COVID-19

Detecting protective measures (e.g., masks, goggles and protective clothing) is a momentous step in the fight against COVID-19. The detection mode of unmanned devices based on Simultaneous localization and mapping (SLAM) and fusion technology is more efficient, economical and safe than the tradition...

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Vydáno v:	IEEE Sensors Journal Ročník 23; číslo 2; s. 933 - 946
Hlavní autoři:	Liang, Siyuan, Zhu, Weiyue, Chakraborty, Chinmay, Du, Jianbo, Yu, Keping
Médium:	Journal Article
Jazyk:	angličtina japonština
Vydáno:	New York IEEE 15.01.2023 Institute of Electrical and Electronics Engineers (IEEE) The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Cameras Coronaviruses Cost function COVID-19 Datasets Feature extraction Goggles Gyroscopes Inertial coordinates LSD algorithm based on a conditional selection strategy Noise reduction Optimization Pose estimation Protective clothing Real time Real-time systems Sensors Simultaneous localization and mapping SLAM tight coupling Unmanned vehicles Visualization wavelet threshold denoising based on the 3σ criterion
ISSN:	1530-437X, 2379-9153, 1558-1748
On-line přístup:	Získat plný text
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