The road and rail industries have been capturing LiDAR scans of their huge networks to help improve their ever growing infrastructure. The challenge the industry faces is the sheer size of their datasets, which tends to grow extremely quickly, and companies then struggle to manage so many individual point cloud files.
Euclideon's udStream platform allows our road and rail customers to view, manage and share all their individual files in one easy to access platform that easily scales as their data needs grow.
The udMeshCollider component allows you to create a mesh collider based on a projection plane in the scene.
This component samples the depth map to create a flat mesh for collision perpetually during runtime.
This is effective and efficient for placing an avatar in a large scene - avoiding prebaking collisions on a large dataset which may be very memory intensive - but requires that you know which actors need to observe collision, such as the active avatar.
The tools in the Transit Feed toolset support the conversion of General Transit Feed Specification (GTFS) datasets into feature classes and tables that can be visualised in a map, which is used as input for further analysis, or can be used to construct a network dataset.
Some of these tools allow you to create or update GTFS files. GTFS is the only worldwide standardised format for public transit data. It includes the locations of transit lines and stops as well as the schedules.