LiDAR, Imagery& Feature Extraction For The Top 100 US Metros
Our new and exciting project that is taking place at the moment; The 100 Cities DaaS Model. In a nutshell, we’re collecting data from100 of the top metro areas across the US. The data, that will always be kept up to date, will be ready and available off the shelf. This means that the content delivery becomes very flexible as there’s no lag time to wait for the data to be collected.
Content Available:
Full 3D Voxelmap
LiDAR Point Cloud
High Resolution (4K) Imagery
Content Delivery:
Data as a Service (DaaS)
Amazon S3/FTP
Physical Hard Drives
Sample collection content table
City / Metro
Avail Date
Data Desc
# of Linear Miles
# of Linear Miles by Functional Class
Data Types
Extracted Data Features
Export Formats
Access
San Francisco, CA
Q3 2021
Full 3D data set collected with high accuracy LiDAR & Camera Mobile Mapping Systems
7,500 miles
F0= X F1 = X F2 = X F3 = X F4 = X F5 = X F6 = X
Full 3D Voxelmap, LiDAR Point Cloud, 4K Imagery @ X FPS
70+ City Features for more details click here
XML, Shape, GeoJSON, NDS, etc
Web Subscription, Desktop and or VR
The three key stages
1.
The raw Voxel occupancy data is generated from LiDAR
2.
The data merges with our high-resolution camera data to provide RGB values to the Voxels
3.
The 3D Voxel SemanticSegmentation platform then automatically recognizes, measures and extracts the features as it goes along
100 Cities Data Example - San Francisco
This is an image of when we mapped San Francisco. It was mapped in incredibly high resolution and carried out through Mobile Mapping.We’ve zoomed out slightly in 3D so that you can see more of the mapped area and the remarkable detail of our imagery. This isn’t just a 3D model, everything is being automatically categorized by the AI and the features are then extracted. This is a factor of why our technology is superior.
If we zoom right in you can see a voxelmap of vegetation encroachment and the high-res imagery captured of the same asset.
