Our maps are priced according to a variety of different factors: geographic coverage, level of detail, types of datasets, and licensing type. For a specific pricing proposal for your project, please get in touch with our team.
We use a combination of geospatial observations and machine learning and machine vision algorithms to generate our maps for autonomous vehicles. We take raw data, process it through our algorithms, and then produce a digital twin of the urban environment. For an in-depth explanation, read more.
No, we do not use LiDAR – our data sources are primarily airborne observations, street-level imagery, and satellite observations.
For an average mid-sized city, we can typically complete data collection, analysis, and quality assurance in 7-10 business days.