Whu-railway3d: A diverse dataset and benchmark for railway point cloud semantic segmentation
Point cloud semantic segmentation (PCSS) shows great potential in generating accurate 3D
semantic maps for digital twin railways. Deep learning-based methods have seen …
semantic maps for digital twin railways. Deep learning-based methods have seen …
Rail-PillarNet: A 3D Detection Network for Railway Foreign Object Based on LiDAR.
F Li, S Zhang, J Yang, Z Feng… - Computers, Materials & …, 2024 - search.ebscohost.com
Aiming at the limitations of the existing railway foreign object detection methods based on
two-dimensional (2D) images, such as short detection distance, strong influence of …
two-dimensional (2D) images, such as short detection distance, strong influence of …
Semi-supervised point cloud segmentation on railway data
B Dekker - 2023 - essay.utwente.nl
Monitoring digital twins of the railway infrastructure is safer, less erroneous and faster
compared to physical inspection. Digital representations of the railway environment are …
compared to physical inspection. Digital representations of the railway environment are …
Annotation Pipeline for Railway Track Segmentation
I Sagastiberri, M Larrazabal, M Sánchez… - 2024 IEEE 12th …, 2024 - ieeexplore.ieee.org
As ADAS (Advanced Driver Assistance Systems) are becoming more common in the railway
environment, the need for data to be able to develop those systems keeps increasing. We …
environment, the need for data to be able to develop those systems keeps increasing. We …
[PDF][PDF] Point Taken
B Ton - 2024 - research.utwente.nl
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