Huge data sets have been a challenge for the public works industry. 3D datasets have resulted in extremely long periods of post-processing, and often an end product that’s too large to be viewed in its entirety.
Euclideon makes these problems a thing of the past, by introducing a platform that allows teams to view huge datasets without the needs for expensive CPU or GPU work stations - saving stakeholders and clients money and time.
Faced with a staggering amount of data and only a limited capability for viewing it, the Public Works industry has turned to Euclideon to help solve these issues.
Today, thanks to that solution the public service industry can view photorealistic 3D point cloud renderings of an entire city off a low specification desktop machine or laptop.
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.
Michael Bledistel, Chief Engineer