Through the Virtual Windshield: The Significance of Simulation Testing in Autonomous Driving Rollouts
Explore GeoMate’s role in autonomous driving with advanced HD mapping technology, vital for the safety and future of self-driving vehicles.
GeoMate: AI-Powered Mapping for Smart Mobility
Reliable Content-Ready Data
(RealSimE) for AD & ADAS
Our reliable, content-ready data ensures precise and accurate AD and ADAS simulation testing. With GeoMate, you can optimize performance and safety, preparing your autonomous systems for real-world challenges.
GeoMate’s mapping technology disrupts traditional mapping methodologies leveraging AI for a better understanding of the spatial context using multi-sourced high-resolution geospatial imagery. Our compact HD maps are transformed into real-world simulated environments serving as a foundational layer that enables AD/ADAS systems to effectively use our simulated real-world data. Utilizing GeoMate’s highly detailed and easily integrable RealSimE allows users to seamlessly incorporate complex real-world scenarios into their testing procedures.
RealSimE is available in various formats including rrhd, ASAM OpenDRIVE, and Lanelet2. The rapid setup process, the intuitive format, and the compatibility of GeoMate’s maps with existing simulation software such as RoadRunner, DSpace, Carla, Autoware, and DIVP, makes the engineering workflow easier and more efficient. GeoMate’s technology is revolutionizing the mapping process for AD and ADAS simulation purposes, achieving increased cost and time efficiency without compromising accuracy compared to existing methods in the process.
REALISTIC ENVIRONMENT
MODELING
RealSimE created from GeoMate’s compact HD maps provides precise and detailed depictions of real-world for simulations. By doing so, our maps capture important and intricate elements such as road markings, traffic signals, and signage. This environment modeling ensures an immersive, true-to-life simulation experience for better testing.
LOCALIZATION &
PATH PLANNING
RealSimE provide precise location of road geometries, allowing localization function to accurately determine a vehicle’s position in relation to the road and its surroundings. Our maps are instrumental in developing and testing path planning algorithms and offer comprehensive details about road networks, including semantics for lane configurations, intersections, roundabouts and topologies to signages and signals.
SENSOR SIMULATION &
VALIDATION
RealSimE embolden the testing and validation of the sensor technologies necessary for AD and ADAS. With sensors such as cameras, and radar playing integral roles in navigation, RealSimE aids in simulating the interactions between these sensors and the environment, enhancing their reliability and accuracy.
SCENARIO TESTING for
EDGE CASES
Scenario testing powered by RealSimE improve the AD systems across diverse and challenging cases in different ODDs, otherwise referred to as edge cases. These situations include unpredictable weather conditions, surprise road obstacles, and congested or unusual traffic patterns. By mimicking these scenarios, AD systems can be better equipped to handle real-world complexities.
Autonomous Driving
& Companies
AD companies requiring simulation testing prior to launching real-world pilot projects
Simulation Solution
Providers
Simulation service providers that offer content-ready data built into simulation platforms
Simulation
Platforms
Simulation platforms that test AD behaviors prior to real-world deployment
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
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.
