Volvo Group partners with Nvidia on AI platform for autonomous trucks

The Volvo Group has signed an agreement with Nvidia to jointly develop the decision-making system of autonomous commercial vehicles and machines.

Using Nvidia’s end-to-end artificial intelligence platform for training, simulation and in-vehicle computing, the resulting system is designed to safely handle fully autonomous driving on public roads and highways.

The solution will be built on Nvidia’s full software stack for sensor processing, perception, map localisation and path planning, enabling a wide range of possible autonomous driving applications, such as freight transport, refuse and recycling collection, public transport, construction, mining, forestry and more.

“Automation creates real-life benefits for both our customers and the society in terms of safety, energy efficiency and as a consequence productivity,” says Martin Lundstedt, President and CEO of the Volvo Group.

“We continue to gradually introduce automated applications in the entire spectrum of automation, from driver support systems to fully autonomous vehicles and machines. This partnership with Nvidia is an important next step on that journey.”

The partnership will focus on the development of a flexible, scalable Autonomous Driving System, which is planned to be used first in commercial pilots and later in commercial offerings from the Volvo Group.

The agreement is a long-term partnership spanning several years. Work will begin immediately with personnel from the two companies being co-located in Gothenburg, Sweden and Santa Clara, California.

The strategic partnership covers end-to-end computing fundamental to autonomous vehicles. It includes accelerated computing technology in the datacenter for training deep neural networks; large-scale simulation for hardware-in-the-loop testing and validation of autonomous vehicle systems; and finally deployment of the Nvidia DRIVE platform in the vehicle running the full software stack for 360-degree sensor processing, mapping and path planning