The CAMHighways dataset
The Digital Roads team is proud to present the CAMHighways dataset, built from mobile mapping data that surveyed over 40km of UK Highways.
The dataset consists of textured meshes for road assets (including the pavement, traffic signs and road furniture), segmented and classified point clouds, orthomosaics generated from pavement images, defect label annotations and shapefiles, and ground penetrating radar point clouds. All modalities are georeferenced and can be integrated into game engines and/or GIS software.
The CAMHighways datatset was created to facilitate and automate the building of a Digital Twin (DT), a digital representation of the highway, to streamline inspection and maintenance through virtual reality, robotics simulation, and DT- and AI-driven data analysis. It also serves as a valuable source for other applications, such as training semantic scene understanding and defect detection algorithms.
A paper has been written to introduce the dataset and outline the data preparation process, including novel automation methods developed for this purpose, as well as integration guidelines and possible applications.
The Digital Roads dataset has been made publicly available to help further investigation into the management of our national infrastructure.
Publicly Accessible dataset
The hosting of the Digital Roads dataset is provided by our spin-out company, didimi. To access the dataset, please follow the instructions below.
1. Go to the Didimi website: https://www.didimi.com/,
2. Click on login in the top right and create an account,
3. A link will be sent to you via email to validate your account,
4. Once verified this will notify the AWS resources to create an account for you which will be completed by close of business the next working day,
5. The login details for the AWS access will be sent to the requestor as two separate emails.
a. The first will contain a login link and a username
b. The second will contain a temporary password that will need to be changed when you first log in.
6. Once all of this is completed the requestor will now have been provided access to the dataset.
Please note:
If there are any issues or delays, please reach out to didimi.