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Ana Sayfa NEWS TRI-AD enables successful creation of HD maps for automated driving on surface...

TRI-AD enables successful creation of HD maps for automated driving on surface roads

Toyota Research Institute-Advanced Development, Inc. ("TRI-AD"), Toyota's automated driving software development company, has successfully completed proof of concepts ("PoC") demonstrating high definition ("HD") map building for surface roads with relative accuracy of less than 50 centimeters, a good level that is required for automated driving.

Toyota Research Institute-Advanced Development, Inc. (“TRI-AD”), Toyota’s automated driving software development company, has successfully completed proof of concepts (“PoC”) demonstrating high definition (“HD”) map building for surface roads with relative accuracy of less than 50 centimeters, a good level that is required for automated driving.

In these PoCs, TRI-AD verified that both following methods are effective for HD map building:

  1. Building map information for automated driving via map data derived from the cameras of ordinary vehicles as well as satellite imagery, without the use of conventional means of collecting data such as survey vehicles.
  2. Applying vehicle data from TRI-AD’s Automated Mapping Platform (“AMP”) to other companies’ platforms by converting data formats and applying correcting algorithms.

By utilizing 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.

Summary of PoC results:

Maxar Technologies (“Maxar”), a trusted partner and innovator in Earth Intelligence and Space Infrastructure, Japan’s leading IT services provider NTT DATA Corporation (“NTT DATA”), and TRI-AD are collaborating on a proof of concept to build automated HD maps for automated vehicles using the highest-resolution commercial satellite imagery since April 25th, 2019. The PoC demonstrates it is now possible to automatically extract the required map information by analyzing and removing and correcting non-map image pixels such as automobiles, shadows, and occlusions due to the inclination of buildings in satellite imagery. Currently, maps with a relative accuracy of 25 centimeters*1 were created within the 23 wards in Tokyo, as well as 6 cities globally, and were verified to be useful for automated driving purposes. (Refer to Image 1, 2 and 3.)

Image 1. Base overhead satellite imagery

Image 1. Base overhead satellite imagery
Image 2. Automobile pixel removal and image correction
Image 2. Automobile pixel removal and image correction
Image 3. Map information extraction
Image 3. Map information extraction

Image 4. Suburban road feature placement

Image 4. Suburban road feature placement
Image 5. Urban street-level object detection
Image 5. Urban street-level object detection

TRI-AD and a leading road intelligence platform, CARMERA Inc. (“CARMERA”), have successfully conducted a camera-based HD mapping initiative. As part of their global partnership, the collaboration used “dashcam” drive recorders to detect and place key road features―such as lane markings, traffic signals and signs―within the 23 wards in Tokyo and 2 cities in the United States. The project achieved a relative accuracy of 40 centimeters*1 for key navigation features―a major advance in camera-only detection. TRI-AD’s work with CARMERA used the same hardware-agnostic computer vision and processing technology as CARMERA’s Real-Time Events and Change Management engine, which detects, validates and delivers navigation-critical updates to CARMERA’s regenerative HD mapping system in minutes rather than months. By using consumer-grade vehicle cameras that are common around the world, TRI-AD and CARMERA showcased a scalable approach to next-generation map making.

TRI-AD also collaborated on a PoC with TomTom International BV. (“TomTom”), a leading independent location technology specialist.

Together, the companies showed that lower-class roads (urban roads), including lane markings necessary for automated driving, could be successfully created or updated in near real-time on TomTom’s HD map. The solution was achieved by verifying the reliability of the vehicle data collected by TRI-AD’s AMP, and then converting it for input into TomTom’s cloud-based transactional mapmaking platform.

Image 7. Automatic generation of lane level HD map
Image 7. Automatic generation of lane level HD map

TRI-AD has collaborated with a world’s leading location data and technology platform, HERE Technologies (“HERE”) for this PoC. Correcting the positional errors in the vehicle data collected by TRI-AD, HERE was able to automatically create surface road maps using HERE’s advanced “Self-Healing” technology. By using only vehicle sensor data, HERE ingested the data into its platform and automatically generated HD maps including lane level information required for automated driving. HERE’s HD Live Map has already been selected to power some of the world’s most prestigious OEM’s Level 3 automated vehicle programs.

Mandali Khalesi, Vice President of Automated Driving Strategy and Mapping at TRI-AD, said

“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. 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.”