Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Joachim Rüter"'
Publikováno v:
Journal of Imaging, Vol 10, Iss 10, p 259 (2024)
State-of-the-art object detection models need large and diverse datasets for training. As these are hard to acquire for many practical applications, training images from simulation environments gain more and more attention. A problem arises as deep l
Externí odkaz:
https://doaj.org/article/e94af941eb4949b1892a5f70a409404e
Publikováno v:
Sensors, Vol 24, Iss 4, p 1144 (2024)
A key necessity for the safe and autonomous flight of Unmanned Aircraft Systems (UAS) is their reliable perception of the environment, for example, to assess the safety of a landing site. For visual perception, Machine Learning (ML) provides state-of
Externí odkaz:
https://doaj.org/article/04a0491348e74b3fb856b90773b8a9b4
Autor:
Christoph Hinniger, Joachim Rüter
Publikováno v:
Aerospace, Vol 10, Iss 7, p 604 (2023)
Autonomous unmanned aircraft need a good semantic understanding of their surroundings to plan safe routes or to find safe landing sites, for example, by means of a semantic segmentation of an image stream. Currently, Neural Networks often give state-
Externí odkaz:
https://doaj.org/article/025d31576b52499ea6b0941f9dddc501
Publikováno v:
Progress in IS ISBN: 9783030880620
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13482a8c3ae361a358aac547aa5a8d8b
https://doi.org/10.1007/978-3-030-88063-7_6
https://doi.org/10.1007/978-3-030-88063-7_6
