Toyota Research Institute-Advanced Development (Tri-Ad) has completed proof of concepts demonstrating high definition map building for surface roads with relative accuracy of less than 50cm.
In the PoCs, Tri-Ad verified both the following methods are effective for HD map building:
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- 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
- Applying vehicle data from Tri-Ad’s Automated Mapping Platform to other companies’ platforms by converting data formats and applying correcting algorithms
By using the results of these PoCs, it is expected 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 HD maps can be substantially reduced.
Tri-Ad and road intelligence platform, Carmera have 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 two cities in the US.
The project achieved a relative accuracy of 40cm for key navigation features. 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’s regenerative HD mapping system.
Tri-Ad has also collaborated on a PoC with TomTom International.
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By GlobalDataTogether, the companies showed 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 TriAd’s AMP and then converting it for input into TomTom’s cloud-based transactional mapmaking platform.
Tri-Ad has equally collaborated with Here Technologies for the 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 ‘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 programmes.
“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 Tri-Ad Automated Driving Strategy and Mapping VP, Mandali Khalesi.
“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.”
