Identifying and locating road features for automated efficient asset management tasks
Anditi is a world-leading expert in extracting a wide range of road safety attributes and road corridor assets from remote sensing data. Our proprietary software ingests data from our global network of suppliers and automatically detects numerous assets at scale, providing a comprehensive and detailed insight into road networks.
These assets can be provided in various formats, including 2D shape files, 3D point clouds, or Survey Grade Classification (3D+).
We can currently extract the following assets, plus many more in development:
Understanding the location, quantity, and size of road corridor assets is essential for many road-related industries and projects, including:
We have extensive experience in working with data from multiple sources, with differing formats and levels of quality.
Our in-house software and algorithm developers have developed processes to clean and upgrade the data, removing artefacts and “ghost vehicles.”
For point clouds with gaps or lower quality, we can use the accompanying 360-degree imagery as an infill to create a synthetic point cloud, dramatically increasing the quality and useability of the data.