GeoMate: AI-Powered Mapping for Smart Mobility
MAPS FOR URBAN MOBILITY: FREQUENTLY ASKED QUESTIONS
Here's a list of our urban mobility clients' most common questions.
How accurate are GeoMate's maps for urban mobility projects?
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.).
What datasets do you offer?
We offer four major categories of datasets: Road layers, sidewalk layers, vertical features, and dynamic factors. Explore our full lists here.
How much do your maps cost?
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.
What is your mapping process?
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.
Do you use LiDAR?
No, we do not use LiDAR – our data sources are primarily airborne observations, street-level imagery, and satellite observations.
How long does the mapping process take?
For an average mid-sized city, we can typically complete data collection, analysis, and quality assurance in 7-10 business days.
Which cities have you mapped?
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.
Still have more questions? Grace Wright can help!