Toyota enters partnership to build HD maps for AVs from space

Toyota Research Institute-Advanced Development (TRI-AD), technology company Maxar Technologies and NTT Data are working together to build high-definition (HD) maps for autonomous vehicles (AV) using satellite imagery. TRI-AD carried out an analysis, saying that current HD maps cover less than 1% of the global road network and there is a need to broaden the coverage of urban areas and local roads before AVs can become a mainstream mobility technology. A HD map created from satellite imagery would all
May 3, 2019 Read time: 2 mins
1686 Toyota Research Institute-Advanced Development (TRI-AD), technology company Maxar Technologies and NTT Data are working together to build high-definition (HD) maps for autonomous vehicles (AV) using satellite imagery.


TRI-AD carried out an analysis, saying that current HD maps cover less than 1% of the global road network and there is a need to broaden the coverage of urban areas and local roads before AVs can become a mainstream mobility technology.

A HD map created from satellite imagery would allow the driving software to compare multiple data sources and signal the car to take action to stay safe, the company adds.

Utilising Maxar’s Geospatial Big Data Platform, imagery from the company’s satellite imagery library will be fed into NTT Data’s specialised algorithms using artificial intelligence to extract information to generate the road network. TRI-AD will then make HD maps available for delivery from its cloud into Toyota test vehicles.

Mandali Khalesi, vice president of automated driving at TRI-AD, says advances in electronics and aerospace engineering are leading to higher resolutions and more frequent updates of global imagery from space-based assets.

“Additionally, machine learning is helping automate the discovery and integration of semantic relationships between road elements within image data,” Khalesi adds.

NTT Data, an IT services provider, will use its artificial intelligence and enhanced image-processing resources to expand the coverage of HD maps.

Katsuichi Sonoda, vice president and head of NTT Data’s social infrastructure solution sector, says: “In the future, we hope to map worldwide road networks from space using our enhanced image-processing expertise.”

Location Based Systems

For more information on companies in this article

Related Content

  • USDoT awards $60m funding for ADS systems testing
    September 20, 2019
    The US Department of Transportation (DoT) is to provide nearly $60 million in funding for eight projects to test the safe integration of autonomous driving systems (ADS). US secretary of transportation Elaine Chao says: “The Department is awarding $60 million in grant funding to test the safe integration of automated vehicles into America’s transportation system while ensuring that legitimate concerns about safety, security, and privacy are addressed.” The USDoT is delivering the funding via the Autom
    Read More
  • Options abound for road weather sensing
    September 6, 2017
    Meteorological organisations invest millions in super-computers to crunch data for ever-more accurate forecasts but inherent unpredictability means that other methods of alerting drivers and road authorities to fast-changing weather and highway conditions are essential. For years, static weather sensors to measure factors such as surface water, ice or high roadway temperatures have been embedded in highways to provide such data. But that is changing.
    Read More
  • Dutch strike public/private balance to introduce C-ITS services
    November 15, 2017
    Connected-ITS applications are due to appear on a nation-wide scale this summer, through the Netherlands’ Talking Traffic Partnership – if all goes to plan. Jon Masters reports. The Netherlands’ Talking Traffic Partnership (TTP) looks almost too good to be true: an artificial market set up and supported by national, regional and local government to accelerate deployment of Connected ITS (C-ITS) applications. If it does have any serious flaws, these are going to become apparent quite soon, because the first
    Read More
  • Transportation applications move to machine vision’s mainstream
    June 11, 2015
    The adaptation of machine vision to transport applications continues apace. That the machine vision industry is taking traffic installations seriously is evident by the amount of hardware and software products tailor-made for ITS applications that are now available on the market. A good example comes from US-based Gridsmart Technologies which has developed a single wire fisheye camera that provides a horizon to horizon view for use at intersections. Not only does the single camera replace four or more in a
    Read More

Highlighted Content