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pro vyhledávání: '"Xiangrui Weng"'
Publikováno v:
Sensors, Vol 24, Iss 14, p 4541 (2024)
In recent years, there has been extensive research and application of unsupervised monocular depth estimation methods for intelligent vehicles. However, a major limitation of most existing approaches is their inability to predict absolute depth value
Externí odkaz:
https://doaj.org/article/ce1e12eff1294aa49ffbfa1cb1951f04
Publikováno v:
Sensors, Vol 22, Iss 21, p 8385 (2022)
Improving the level of autonomy during the landing phase helps promote the full-envelope autonomous flight capability of unmanned aerial vehicles (UAVs). Aiming at the identification of potential landing sites, an end-to-end state estimation method f
Externí odkaz:
https://doaj.org/article/21f689fc21f44673a7f89ae8b227fe76
Autor:
Xiangrui Weng, Bangjun Guo
Publikováno v:
Journal of Physics: Conference Series. 2435:012016
One of the key technologies for the autonomous landing of fixed-wing UAVs is runway detection and tracking. The survey reveals that there is no publicly available runway image dataset. However, we proposed a new method, which was different from the t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3da2c7930a664d7b3593139b6a74c1cc
https://doi.org/10.1088/1742-6596/2435/1/012016
https://doi.org/10.1088/1742-6596/2435/1/012016