Skip to main content

Volvo and Nvidia to develop AV decision-making system

Volvo has partnered with Nvidia to develop a decision-making system which it says will allow autonomous commercial vehicles to operate safely on public roads. The solution will be built on Nvidia’s full software stack for sensor processing, perception, map localisation and path planning to enable a range of autonomous driving applications such as public transit and freight transport. The contract includes accelerated computing technology in the data centre for training deep neural networks, large-scale si
July 16, 2019 Read time: 1 min

609 Volvo has partnered with Nvidia to develop a decision-making system which it says will allow autonomous commercial vehicles to operate safely on public roads.

The solution will be built on Nvidia’s full software stack for sensor processing, perception, map localisation and path planning to enable a range of autonomous driving applications such as public transit and freight transport.

The contract includes accelerated computing technology in the data centre for training deep neural networks, large-scale simulation for hardware in the loop testing and validation of autonomous vehicle (AV) systems. It also covers the deployment of the Nvidia Drive platform in the vehicle running the full software stack for 360-degree sensor processing, mapping and path planning.

Both companies will focus on developing an autonomous driving system planned for commercial pilots - and later in commercial offerings - from Volvo.

For more information on companies in this article

Related Content

  • Unmanned AV set to run on Korean roads
    June 25, 2024
    Ministry of Land, Infrastructure and Transport has permitted 'temporary operation'
  • 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.
  • Cloud computing technology benefits GIS
    July 17, 2012
    Geographic Information Systems are a relatively late adopter of cloud computing,but the benefits of host services for geospatial data and analysis are becoming clear. Jason Barnes reports Both the concept and the reality of cloud computing have been around for some time. More and more industry sectors are entrusting external service providers with the provision of their computing services via the internet. However, the Geographic Information System (GIS) industry has been slow to embrace the trend. This is
  • Self-driving car start-up raises major investment
    August 24, 2016
    Quanergy Systems, which makes solid state LiDAR sensors and smart sensing solutions used in self-driving cars, has raised US$90 million from investors including Sensata Technologies, Delphi Automotive, Samsung Ventures, Motus Ventures and GP Capital. Since launching in 2012, Quanergy has developed a compact, low-cost, automotive grade solid state LiDAR sensor, the S3 solid state LiDAR and is aggressively working to commercialise these sensors for advanced driver assistance systems (ADAS) and autonomous d