Discharge Test of Unmanned Aerial Vehicles and Live High-voltage Wires
Author:
Affiliation:
1. State Grid Hunan Electric Power Company Limited Research Institute, China
2. Changsha University of Science and Technology, School of Electrical and Information Engineering, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3548608.3559287
Reference5 articles.
1. Zhang Z P Peng H W.(2019)Deeper and Wider Siamese networks for real-time visual tracking.IEEE Conference on Computer Vision and Patern Recognition.pp.4586-4595. Zhang Z P Peng H W.(2019)Deeper and Wider Siamese networks for real-time visual tracking.IEEE Conference on Computer Vision and Patern Recognition.pp.4586-4595.
2. Nam H Han B.(2016)Learning multi-domain convolutional neural networks for visual tracking.IEEEConference on Computer Vision and PaternRecognition.pp. 4293-4302. Nam H Han B.(2016)Learning multi-domain convolutional neural networks for visual tracking.IEEEConference on Computer Vision and PaternRecognition.pp. 4293-4302.
3. Henriques J F , Caseiro R , Martins P , ( 2015 ) High-speed tracking with kernelized correlation filters .IEEE Transactions on Patern Analysis and Machine Intelligence .37(3).pp. 583 - 596 . Henriques J F, Caseiro R, Martins P, (2015)High-speed tracking with kernelized correlation filters.IEEE Transactions on Patern Analysis and Machine Intelligence.37(3).pp.583-596.
4. Hu X X Chen Y Luo H.(2015) Robust decision making for UAV air-to-ground attack under severe uncertainty.Journal of Central South University.22(11).pp.4263-4273. Hu X X Chen Y Luo H.(2015) Robust decision making for UAV air-to-ground attack under severe uncertainty.Journal of Central South University.22(11).pp.4263-4273.
5. Maggio E Smerladi F Cavallaro A.(2007)Adaptive multi-feature tracking in a particle filtering framework.17(10).pp.1348-1359. Maggio E Smerladi F Cavallaro A.(2007)Adaptive multi-feature tracking in a particle filtering framework.17(10).pp.1348-1359.
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