Artificial Intelligence Architecture Based on Planar LiDAR Scan Data to Detect Energy Pylon Structures in a UAV Autonomous Detailed Inspection Process-Reference-Cited by-同舟云学术

Artificial Intelligence Architecture Based on Planar LiDAR Scan Data to Detect Energy Pylon Structures in a UAV Autonomous Detailed Inspection Process

Published:2021 Issue: Volume: Page:430-443
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Ferraz Matheus F.^ORCID,Júnior Luciano B.,Komori Aroldo S. K.,Rech Lucas C.,Schneider Guilherme H. T.,Berger Guido S.^ORCID,Cantieri Álvaro R.^ORCID,Lima José^ORCID,Wehrmeister Marco A.^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-91885-9_32

Reference19 articles.

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2. Araar, O., Aouf, N.: Visual servoing of a Quadrotor UAV for autonomous power lines inspection. In: 2014 22nd Mediterranean Conference on Control and Automation, MED 2014 (June), pp. 1418–1424 (2014). https://doi.org/10.1109/MED.2014.6961575

3. Araar, O., Aouf, N., Dietz, J.L.V.: Power pylon detection and monocular depth estimation from inspection UAVs. Ind. Robot. 42(3), 200–213 (2015). https://doi.org/10.1108/IR-11-2014-0419

4. Azevedo, F.: LiDAR-based real-time detection and modeling of power lines for unmanned aerial vehicles. Sensors (Switzerland) 19(8), 1–28 (2019). https://doi.org/10.3390/s19081812

5. Bian, J., Hui, X., Zhao, X., Tan, M.: A point-line-based SLAM framework for UAV close proximity transmission tower inspection. In: 2018 IEEE International Conference on Robotics and Biomimetics, ROBIO 2018, pp. 1016–1021 (2019). https://doi.org/10.1109/ROBIO.2018.8664716

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