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Recognition of Landing Target of UAV by Vision Using Machine Learning

Autor: Yuya Homma, Seiichiro Moro

Publikováno v: Journal of Signal Processing. 23:193-196

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::66fff28cb611a0a03e38f000c05fe8cd
https://doi.org/10.2299/jsp.23.193

3D Driven Rock Quality Mapping and Landing Target Selection in the Wolfcamp Formation: A Case Study on How to Combine Geologic, Geophysical, and Engineering Data to Produce Better Well Results, Midland Basin, Texas

Autor: F. X. O'Keefe, Brian Wehner, Nick Kramer, Paul Heuermann, Chris Niedz, Scott Patrick, Aaron Fisher

Publikováno v: Proceedings of the 7th Unconventional Resources Technology Conference.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::47bbf8503e9b6a450ecbc0eab894e19f
https://doi.org/10.15530/urtec-2019-1147

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Unsupervised Perception Model for UAVs Landing Target Detection and Recognition

Autor: Eva Dokladalova, Petr Dokládal, Eric Bazan

Publikováno v: HAL
Advanced Concepts for Intelligent Vision Systems
Blanc-Talon, J., Helbert, D., Philips, W., Popescu, D., Scheunders, P. Advanced Concepts for Intelligent Vision Systems, Springer, pp.233-244, 2018, 978-3-030-01449-0
Advanced Concepts for Intelligent Vision Systems ISBN: 9783030014483
ACIVS

International audience; Today, unmanned aerial vehicles (UAV) play an interesting role in the so-called Industry 4.0. One of many problems studied by companies and research groups are the sensing of the environment intelligently. In this context, we

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b223a721ebb26a30b4e17a46cfb75bb
https://hal.archives-ouvertes.fr/hal-01793695