Toyota Research Institute-Advanced Development, Inc. (TRI-AD, Maxar Technologies, and NTT DATA Corporation have announced they will collaborate on a proof of concept to build automated high-definition (HD) maps for autonomous vehicles using high-resolution satellite imagery.
Toyota Research Institute-Advanced Development is
Toyota’s automated driving software development company, Maxar Technologies is a space technology company, and NTT DATA Corporation is an IT services provider.
This is an important move toward advancing TRI-AD’s open software platform concept known as Automated Mapping Platform (AMP) and help realize the scalability of autonomous driving.
Autonomous vehicles use several real-time sensors to ensure safe driving and these sensors need to be cross-referenced with an HD map for safe operation. According to TRI-AD analysis, currently HD maps cover less than 1% of the global road network1, and there is a need to increase the coverage of urban areas and local roads before autonomous vehicles can become a mainstream mobility technology. An HD map created from accurate satellite imagery allows the driving software to compare multiple data sources and signal the car to take action if needed to stay safe.
In this proof of concept, the three companies will work together to process satellite imagery into vehicle-friendly HD maps. Leveraging Maxar’s cloud-based Geospatial Big Data platform (GBDX), imagery from Maxar’s optical satellite image library will be fed into NTT DATA’s specialized algorithms using Artificial Intelligence to extract information that is necessary to generate the detailed road network.
Based on the above information, TRI-AD will make HD maps available for delivery from TRI-AD’s cloud into Toyota test vehicles. The group is focusing first on creating an automated HD map for a predefined area of the Tokyo metropolitan region, opening up the future possibility of supporting automated mobility on all roads.
Source: Press Release