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.

Related Content

  • February 7, 2020
    Autopilot consortium demos IoT benefits for AVs

    A consortium of European partners demonstrated this week how the Internet of Things (IoT) can be used to improve autonomous driving.

    Autopilot (Automated driving progressed by IoT) is a large-scale pilot funded by the European Commission in which partners such as Ertico – ITS Europe and TNO tested IoT-enabled autonomous vehicles (AVs) in France, Finland, the Netherlands, Italy and Spain. 

    Other partners involved in Autopilot include IBM, Continental and Huawei.

    Read More
  • February 2, 2012
    Developments in smarter multi-modal fare paynment
    This section pulls together all the multi-modal topics in each issue. Subject matter will include smartcards; ticketing and payment systems; passenger information systems; fleet management for buses, trains and light rail; park and ride systems; on-line access to real-time information via Internet portals
    Read More
  • June 29, 2018
    Avoiding the call of the wild
    Hitting an animal on a rural road can be fatal for all parties involved – but detecting and avoiding them requires clever technology. Andrew Williams carefully scans the horizon for details. Wildlife-vehicle collisions are an ever-present threat in rural areas around the world, and there is certainly nothing funny about suddenly finding an angry moose in your headlights on a sharp bend. A variety of detection and avoidance systems are currently in use or under development to help prevent your vehicle being
    Read More
  • September 19, 2017
    Michigan fosters real-world testing of workzone ITS
    Turning a ‘problem’ into ‘an opportunity’ is the mantra of just about every business book and Michigan Department of Transportation (MDoT) looks set to achieve that aim in Oakland County, where 29km (18 miles) of the I-75 needs to be reconstructed. Running north-northwest from Detroit, the I-75 carries around 170,000 vehicles per day but, being built in the 1970s, it now requires an additional lane in each direction and upgrading to the latest design and safety standards. Upgrading will be carried out in
    Read More

Highlighted Content