Automatic Road Inventory Using a Low-Cost Mobile Mapping System and Based on a Semantic Segmentation Deep Learning Model

Automatic Road Inventory Using a Low-Cost Mobile Mapping System and Based on a Semantic Segmentation Deep Learning Model

Road maintenance is crucial for ensuring safety and government compliance, but manual measurement methods can be time-consuming and hazardous. This work proposes an automated approach for road inventory using a deep learning model and a 3D point cloud acquired by a low-cost mobile mapping system. Th...

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Bibliographic Details
Main Authors: Hugo Tardy, Mario Soilán, José Antonio Martín-Jiménez, Diego González-Aguilera
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Remote Sensing
Subjects:
road inventory
road parameters
mobile mapping system
3D point cloud processing
deep learning
Online Access:https://www.mdpi.com/2072-4292/15/5/1351

Internet

https://www.mdpi.com/2072-4292/15/5/1351

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