Our maps are accurate up to 3cm for linear features (e.g., road edges, sidewalks, lane markings, etc.) and between 10-20cm for vertical features (e.g., streetlights, signage, etc.).
We offer four major categories of datasets: Road layers, sidewalk layers, vertical features, and dynamic factors. Explore our full lists here.
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.
To date, we have mapped 15+ cities across North America, and plan to complete mapping major cities across the United States by the end of 2022. We are also mapping cities in Europe on a case-by-case basis. If your organization is interested in mapping data for a particular city, please contact our team.