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.

Related Content

  • January 4, 2017
    Mobileye and Lucid partner on autonomous vehicles
    US-based electric vehicle developer Lucid Motors is to collaborate with Israeli company Mobileye to enable autonomous driving capability on Lucid vehicles. Lucid plans to launch its first car, the Lucid Air, with a complete sensor set for autonomous driving, including camera, radar and LiDAR sensors. Mobileye will provide the primary computing platform, full eight-camera surround view processing, sensor fusion software, Road Experience Management (REM) crowd-based localisation capability and reinforceme
  • September 27, 2024
    May Mobility deploys AV in Peachtree Corners
    Vehicle will run with safety attendant at first, and is open to public after 7 October
  • August 18, 2021
    Dspace links with Cepton on AV simulation 
    Dspace simulation tool chain allows engineers to explore different sensor models
  • January 31, 2012
    Wireless traffic data in real time
    The effect of moving objects on the electromagnetic landscape set up by cellular telephony networks can be detected and interpreted to give real-time traffic data across large geographical areas at low cost. Here, we revisit the Celldar concept. Global economic downturn has pushed public-sector agencies, transport administrations among them, to push even harder for cost efficiencies. Unfortunately, when it comes to transport safety and efficiency the public sector often has to work up to a cost rather than