The research team recently published insightful research in the IEEE Transactions on Geoscience and Remote Sensing Journal. Led by Prof. Qihao Weng, Director of the JC STEM Lab of Earth Observations and the Research Centre for Artificial Intelligence in Geomatics, along with doctoral student Longjie Ye and Prof. Wen Xiao from China University of Geosciences (Wuhan), the study shows that the method can effectively achieve instance segmentation of pole-like roadside facilities in complex urban environments.
This research paper presents a novel method for recognizing pole-like facilities (PLFs) in road scenes, which is crucial for smart city applications such as autonomous driving and intelligent infrastructure management. The recognition of PLFs has been a significant challenge in high-definition road mapping, leading to the development of a new instance segmentation method for processing complicated mobile laser scanning data.
For more details of this paper, please visit: https://ieeexplore.ieee.org/document/10891914
This research paper presents a novel method for recognizing pole-like facilities (PLFs) in road scenes, which is crucial for smart city applications such as autonomous driving and intelligent infrastructure management. The recognition of PLFs has been a significant challenge in high-definition road mapping, leading to the development of a new instance segmentation method for processing complicated mobile laser scanning data.
For more details of this paper, please visit: https://ieeexplore.ieee.org/document/10891914
