GeoMate: AI-Powered HD Maps

AI-POWERED HD MAPS FOR
SAFER, MORE RELIABLE AUTONOMOUS DRIVING

Through the use of high resolution geospatial imagery, GeoMate provides a fast, routinely refreshed, accurate, flexible, and economical alternative to lidar-generated HD maps with cost savings of up to 70%.

AI-POWERED HD MAPS
FOR SAFER, MORE RELIABLE
AUTONOMOUS DRIVING

Through the use of high resolution geospatial imagery, GeoMate provides a fast, routinely refreshed, accurate, flexible, and economical alternative to lidar-generated HD maps with cost savings of up to 70%.

Autonomous vehicles need precise, up-to-date HD maps to safely navigate our world’s roadways.

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ROADWAY
STRUCTURE & LAYOUT

Improve routing and safe travel through detailed roadway and traffic schematics

TRAFFIC
CONTROL & REGULATIONS

Optimize navigation with lane specific routing while ensuring safety with detailed traffic sign information

ENVIROMENTAL
& URBAN
FEATURES

Prioritize vulnerable user safety with comprehensive mapping of urban environments and pedestrian routes

CONNECTIVITY
& DATA INTELLIGENCE

Enhance route optimization by utilizing dynamic, interconnected roadways and up-to-date environmental data

Why choose GeoMate HD Maps for Autonomous Driving?

ACCURATE & SCALABLE

GeoMate HD maps offer a 10 cm margin of accuracy and keep your systems up to date with routinely refreshed datasets for better, more reliable autonomous driving. GeoMate also provides greater urban coverage, not limited to highway networks, as well as custom HD map output formats for complete accommodation.

COST EFFECTIVE & EFFICIENT​

GeoMate’s innovative approach to HD mapping allows for cost savings of up to 70% less than lidar-based alternatives. In addition to the upfront savings, recover more revenue by cutting down computational costs with compact HD maps for less server usage and shortened processing times.

AI-Powered Annotation

GeoMate’s “maps as sensors” provide an additional layer of protection to be used in unison with onboard sensors to navigate roadways. This redundancy allows autonomous vehicles to continue to operate with confidence in any external condition including snow, fog and increased traffic congestion.

HERE'S HOW OUR AI HD MAP MAKING PROCESS WORKS

Data Acquisition
& Preparation

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GeoMate uses a high resolution geospatial imagery capture process as the foundation for our datasets.

Detection, Segmentation,
& Fusion

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Our cutting-edge computer vision technology uses AI to autonomously map 35+ features of the captured built environment.

Semantic &
& Traffic Rules

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GeoMate’s AI algorithms perform semantic annotation, greatly reducing the human component of our mapping process.

Real World
Construction

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Through the use of this copious semantic information we are able to construct the HD map as you see it

Why GeoMate’s HD Maps Are the Future of Autonomous Driving

Why GeoMate’s HD Maps Are the Future of Autonomous Driving

Explore GeoMate’s role in autonomous driving with advanced HD mapping technology, vital for the safety and future of self-driving vehicles.

How it Works: HD Mapping with Aerial Imagery

How it Works: HD Mapping with Aerial Imagery

Think of it like this: aerial mapping is comparable to adding a sweater to your online cart and clicking ‘buy’; lidar mapping is like driving out to a local farm, shearing a sheep, processing the wool, and then knitting a sweater by hand.

Safety of Autonomous Vehicles: Innovation from Risk to Reward

Safety of Autonomous Vehicles: Innovation from Risk to Reward

Self-driving cars are a technological marvel with serious technical hurdles that are causing declines in consumer confidence. But they’re the transportation of the future: so how can the industry solve this?

Looking for Pricing Details?

Schedule a time to chat with our team to learn how GeoMate can help you save up to 70% in HD mapping costs and scale your operations