TOKYO: Toyota Research Institute-Advanced Development, Inc. (TRI-AD) says it has successfully completed proof of concepts (PoC) demonstrating high definition (HD) map building for surface roads with relative accuracy of less than 50cn, a good level that is required for automated driving.
TRI-AD is a Toyota offshoot that focuses on automated driving software development.
TRI-AD said the map building was based on information obtained from the cameras of ordinary vehicles as well as satellite imagery. The use of survey vehicles was unnecessary.
By using the results of these PoCs, it is expected that the delay in updating HD maps for automated driving can be shortened, areas of HD map coverage can be expanded quickly, and costs to build and maintain the HD maps can be substantially reduced.
"I'm very pleased to announce the results of the PoCs with Maxar and NTT DATA, and CARMERA, and also the results of our new demonstration partners, TomTom and HERE," said said Mandali Khalesi, Vice President of Automated Driving Strategy and Mapping at TRI-AD.
"We got a step closer to a future where automated driving becomes a safer and more accessible technology for all. We will continue to cooperate with partners as we further refine our accuracy."
