Skip to main content

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.”

For more information on companies in this article

Related Content

  • IBTTA Summit: satellite tolling is the future
    August 15, 2019
    IBTTA members met in Florida to consider the technological changes that will impact their businesses – including satellite tolling. Colin Sowman reports from Orlando Over decades, the technology employed in toll collection has been honed to near perfection – automatic number plate recognition (ANPR) and radio frequency identification (RFID) tags are easily within a couple of per cent of infallibility even at highway speeds. However, technical innovations beyond the confines of the toll road cannot b
  • Nuro raises $500m to develop AV tech
    April 1, 2021
    Toyota's Woven Capital is among the investors in autonomous vehicle technology
  • Machine vision develops closer traffic ties
    January 11, 2013
    Specifiers and buyers of camera technology in the transportation sector know what they need and are seeking innovative solutions. Over the following pages, Jason Barnes examines the latest developments with experts on machine vision technology. Transplanting the very high-performance camera technology used in machine vision from tightly controlled production management environments into those where highly variable conditions are common requires some careful thinking and not a little additional effort. Mach
  • CES 2023: for more info see Here
    January 6, 2023
    ADAS, mapping and road safety alerts are among the tech firm's launches in Las Vegas