Cargando…
Recognizing Trained and Untrained Obstacles around a Port Transfer Crane Using an Image Segmentation Model and Coordinate Mapping between the Ground and Image
Container yard congestion can become a bottleneck in port logistics and result in accidents. Therefore, transfer cranes, which were previously operated manually, are being automated to increase their work efficiency. Moreover, LiDAR is used for recognizing obstacles. However, LiDAR cannot distinguis...
Autores principales: | Yu, Eunseop, Ryu, Bohyun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347039/ https://www.ncbi.nlm.nih.gov/pubmed/37447830 http://dx.doi.org/10.3390/s23135982 |
Ejemplares similares
-
Phase imaging with an untrained neural network
por: Wang, Fei, et al.
Publicado: (2020) -
Images of the gantry crane at point 5
por: Virdee, TS, et al.
Publicado: (2008) -
A Digital Twin-Based Operation Status Monitoring System for Port Cranes
por: Zhou, Yong, et al.
Publicado: (2022) -
Speeded Reaching Movements around Invisible Obstacles
por: Hudson, Todd E., et al.
Publicado: (2012) -
Modeling root system growth around obstacles
por: Jin, Wencheng, et al.
Publicado: (2020)