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

  • October 25, 2024
    Huawei develops the next generation of wireless communications
    Huawei has developed and already deployed high-integrity and richly featured cellular communications solutions for the railway sector which are based on the new FRMCS standard and 4-5G technology
    Read More
  • November 12, 2015
    Driver aids make inroads on improving safety
    In-vehicle anti-collision systems continue to evolve and could eliminate some incidents altogether. John Kendall rounds up the current developments. A few weeks ago, I watched a driver reverse a car from a parking bay at right angles to the road, straight into a car driving along the road. The accident happened at walking pace, no-one was hurt and both cars had body panels that regain their shape after a low speed shunt.
    Read More
  • January 2, 2019
    RoadBotics clinches Detroit road assessment deal
    RoadBotics has been chosen to use their machine-learning technology to assess the city of Detroit’s entire 4,185km road network. The company will work with PlanetM, a Michigan state networking partnership of mobility organisations, educational institutions, research and development groups and government agencies working together in the automotive sector. RoadBotics will provide Detroit transportation officials with its standard Artificial Intelligence pavement assessment as well as a new AI Maintenanc
    Read More
  • February 14, 2019
    Cognitive Technologies to develop autonomous tram in Russia
    Cognitive Technologies has joined forces with Russian manufacturer PC Transport Systems to deploy an autonomous tram on the streets of Moscow by 2022. Cognitive says that its simplified system means autonomous trams will appear on public roads much earlier than self-driving cars. The company claims its system will detect vehicle and other trams, traffic lights, pedestrians, tram and bus stops, railway and switches and obstacles. Also, the technology will allow the tram to stop in front of obstacles a
    Read More

Highlighted Content