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1 Ergebnisse
1
Quantitative Assessment Framework for Non-Structural Bird's..:
, In:
2023 IEEE International Conference on Power Science and Technology (ICPST)
,
Liao, Jiawei
;
Xu, Haitao
;
Fang, Xia
.. - p. 974-979 , 2023
Link:
https://doi.org/10.1109/ICPST56889.2023.10164950
RT T1 <cTitle>2023 IEEE International Conference on Power Science and Technology (ICPST)</cTitle>: T1 <Title>Quantitative Assessment Framework for Non-Structural Bird's Nest Risk Information of Transmission Tower in High-Resolution UAV Panoramic Images</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10164950&Exemplar=1&LAN=DE A1 Liao, Jiawei A1 Xu, Haitao A1 Fang, Xia A1 Zhang, Dingcheng A1 Zhu, Gaoyi YR 2023 K1 Poles and towers K1 Neural networks K1 Estimation K1 High-voltage techniques K1 Inspection K1 Maintenance engineering K1 Autonomous aerial vehicles K1 bird's nest detection K1 convolutional neural network (CNN) K1 HRNet K1 Risk assessment K1 Simple Baseline K1 tower pose estimation K1 unmanned aerial vehicles (UAVs) SP 974 OP 979 LK http://dx.doi.org/https://doi.org/10.1109/ICPST56889.2023.10164950 DO https://doi.org/10.1109/ICPST56889.2023.10164950 SF ELIB - SuUB Bremen
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