Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Hannan Ejaz Keen"'
Autor:
Hannan Ejaz Keen, Karsten Berns
Publikováno v:
Advances in Service and Industrial Robotics ISBN: 9783031326059
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::233487cfb28a81c6b4c0d74e66f0985c
https://doi.org/10.1007/978-3-031-32606-6_23
https://doi.org/10.1007/978-3-031-32606-6_23
Publikováno v:
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2875f6286e2cc8c53b1dd9fc52e20cb
https://doi.org/10.1109/iros51168.2021.9636848
https://doi.org/10.1109/iros51168.2021.9636848
Publikováno v:
Advances in Service and Industrial Robotics ISBN: 9783030752583
This research focuses on developing an architecture for fungus detection in fields using aerial imagery obtained from a quadcopter. Plant diseases, especially fungus, damages crops, reduce yield and lower the quality of produce. Manual inspection of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::befc3aeea503b3cea3a1122085379bcf
https://doi.org/10.1007/978-3-030-75259-0_14
https://doi.org/10.1007/978-3-030-75259-0_14
Autor:
Hannan Ejaz Keen, Karsten Berns
Publikováno v:
Advances in Service and Industrial Robotics ISBN: 9783030196479
RAAD
RAAD
We propose a system, which generates a precise elevation map of natural rough terrain. It uses basic sensors such as LiDAR and Stereo camera to generate point clouds. Based on the requirements of high precision, specific techniques are integrated to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ce5e512ae51cb0cf7bc694cbcbf88a7
https://doi.org/10.1007/978-3-030-19648-6_56
https://doi.org/10.1007/978-3-030-19648-6_56