Point Cloud Dataset of Reinforced Concrete Bridges Captured with Matterport Pro3 Scanner in Japan

This dataset contains high-resolution point cloud data of nine reinforced concrete bridges located in rural areas of Japan, collected in December 2023 using the Matterport Pro3 terrestrial laser scanner. The scanner features a 360° horizontal field of view (FOV) and a 295° vertical FOV, operating with a 904nm wavelength laser beam. It achieves a measurement accuracy of ±20 mm at a distance of 10 m and captures up to 100,000 points per second.

Key characteristics of the dataset:

• Data Format: LAS
• Coordinate System: Local, without georeferencing
• Resolution: Coordinate scale value of 1 mm
  

This dataset was created to support research on automated dimension estimation of bridge components using semantic segmentation and geometric analysis. It can be utilized by researchers and practitioners in structural engineering, computer vision, and infrastructure management for tasks such as semantic segmentation, structural analysis, and digital twin development.