Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Haozheng Su"'
Publikováno v:
Remote Sensing, Vol 15, Iss 14, p 3544 (2023)
For oriented object detection, the existing CNN-based methods typically rely on a substantial and diverse dataset, which can be expensive to acquire and demonstrate limited capacity for generalization when faced with new categories that lack annotate
Externí odkaz:
https://doaj.org/article/6f971039d03e4b98afdb1dc5e41dc13e
Publikováno v:
Remote Sensing, Vol 14, Iss 18, p 4435 (2022)
Recent years have witnessed rapid development and remarkable achievements on deep learning object detection in remote sensing (RS) images. The growing improvement of the accuracy is inseparable from the increasingly complex deep convolutional neural
Externí odkaz:
https://doaj.org/article/d5a50d619f194e17a07285a9e02b4bd6
Akademický článek
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Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Publikováno v:
Agriculture, Vol 14, Iss 7, p 979 (2024)
Path planning is the core problem of orchard fertilization robots during their operation. The traditional full-coverage job path planning algorithm has problems, such as being not smooth enough and having a large curvature fluctuation, that lead to u
Externí odkaz:
https://doaj.org/article/e812db57002646a6b9892891c60e79f4
Publikováno v:
Sensors, Vol 23, Iss 2, p 843 (2023)
LiDAR placement and field of view selection play a role in detecting the relative position and pose of vehicles in relocation maps based on high-precision map automatic navigation. When the LiDAR field of view is obscured or the LiDAR position is mis
Externí odkaz:
https://doaj.org/article/8380faa6b9b04c8a9d73357046c36aab