Class-aware edge-assisted lightweight semantic segmentation network for power transmission line inspection

Qingkai Zhou; Qingwu Li; Chang Xu; Qiuyu Lu; Yaqin Zhou

doi:10.1007/s10489-022-03932-3

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Class-aware edge-assisted lightweight semantic segmentation network for power transmission line inspection

Qingkai Zhou Qingwu Li Chang Xu Qiuyu Lu Yaqin Zhou

Year: 2022 Journal: Applied Intelligence Vol: 53 (6)Pages: 6826-6843 Publisher: Springer Science+Business Media

DOI: 10.1007/s10489-022-03932-3

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Keywords:

Computer science Segmentation Artificial intelligence Enhanced Data Rates for GSM Evolution Pattern recognition (psychology) Component (thermodynamics) Electric power transmission Graph Computer vision Theoretical computer science

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Topics

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Power Line Inspection Robots

Physical Sciences → Engineering → Mechanical Engineering

Remote Sensing and LiDAR Applications

Physical Sciences → Environmental Science → Environmental Engineering

Class-aware edge-assisted lightweight semantic segmentation network for power transmission line inspection

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Citation History

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