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

  • Cisco & Verizon push AVs to the edge
    April 7, 2022
    Tech firms say Las Vegas test on AV driving is 'huge milestone' in connectivity
    Read More
  • Using electricity to power road freight
    October 22, 2014
    Next year sees the start of the first real-life electrified road system for transporting freight. Worldwide freight transportation is predicted to double by 2050 but despite expansion of global rail infrastructure only one third of this additional freight transport can be handled by trains. This means that the largest proportion of freight transport will continue to be by road and as a result, experts expect global CO2 emissions from road freight traffic to more than double by 2050.
    Read More
  • Calculating the cost of stellar solutions
    August 10, 2016
    The increasing availability and accuracy of global navigation satellite system (GNSS) is opening up low-cost options in many areas as David Crawford finds out. Boosting commercialisation of European global navigation satellite system (EGNSS) technologies for ITS initially depends heavily on demonstrating competitive and cost/benefit advantages obtainable from the deployment of EGNOS (the current European Geostationary Navigation Overlay Service), and ultimately the EU’s Galileo constellation (see box). So,
    Read More
  • Improving the positional accuracy of GNSS road user charging
    July 23, 2012
    The European GINA project is intended to address and overcome many of the institutional, technical and public acceptance hurdles currently faced by satellite-based road user charging schemes. Dave Tindall and Denis Naberezhnykh, TRL, and Laure Dezes, ERF, write. Pay-as-you-drive Road User Charging (RUC), whereby demand (or congestion) is managed by applying appropriate tariffs in order to encourage drivers to make their journeys at less busy times, on less congested routes or even on different modes, could
    Read More

Highlighted Content