Skip to main content

Oxa to use NVIDIA for autonomous vehicle software

Newly-announced Cosmos Predict models enhance Oxa's own AV training tools
By David Arminas March 27, 2025 Read time: 2 mins
Hub-to-hub logistics is one application for the technology (© Audioundwerbung | Dreamstime.com)

Oxa, a provider of autonomous vehicle software for industrial and commercial fleets will use NVIDIA Cosmos to accelerate industrial mobility automation (IMA) - the automation of repetitive driving tasks by work vehicles. 

These include fixed-route shared passenger transportation, airport ground transportation (baggage, freight, passenger/crew), port and retail yard trailer/container shunting, asset monitoring, factory line parts logistics and hub-to-hub truck logistics.

The tasks are currently performed by around 400 million work vehicles globally and are typically completed on uniform routes which are ‘place-specific’ - a known location - making them prime candidates for automation.

Oxa is using NVIDIA’s Cosmos World Foundation Models (WFMs), including newly-announced Cosmos Predict models, to enhance its own training tools. The tools, which includes Oxa Sensor Expansion, sit within its development toolchain, Oxa Foundry. Cosmos WFMs generate photo-real virtual world states as videos from multimodal inputs such as text and images.

Through its collaboration with NVIDIA, Oxa is able to generate vast amounts of diverse and realistic synthetic data. This expedites the training and validation of its software while significantly accelerating the development and deployment of safe, reliable and efficient self-driving solutions.

Oxa’s end-to-end system development approach, powered by Oxa Foundry, uses a novel GenAI approach to train and assure its self-driving software, Oxa Driver, ‘hyperlocally’ on planned, uniform and repeatable routes, transforming it from a generalist into a specialist.

These GenAI techniques enable the creation of representative and targeted ‘syllabuses’ for teaching and assuring Oxa Driver, with minimal and cost-effective source data requirements.

“By collaborating with NVIDIA and harnessing its latest technologies, we are accelerating our ability to deliver safe, reliable and efficient autonomous solutions to customers today, addressing critical challenges such as driver shortages and productivity gaps,” said Gavin Jackson, chief executive of Oxa. 

“The use of Cosmos for synthetic data generation combined with our own technologies will be instrumental in achieving our goals and unlocking the $2 trillion industrial mobility automation market.”

For more information on companies in this article

Related Content

  • Autonomous driving – what can we really expect?
    June 6, 2016
    Dave Marples of Technolution BV looks beyond the hype to the practical implementation of autonomous vehicles. Having looked at the development of this sector for some time, I am concerned about the current state of autonomous driving development as engineering (and marketing) have run way ahead of the wider systemic, and legislative, requirements to support an autonomous future.
  • Developments in software visualisation packages
    February 3, 2012
    Adrian Greeman looks at developments in software visualisation packages. The capacity to make visualisations has been growing in importance over the last decade, and is now a well-accepted part of consultations and client presentations. But making high-quality images of projects is still a major undertaking and larger consultancies employ specialist departments to do so. Costs are coming down but it can still take a while, and some high-capacity hardware, to produce realistic renderings from drawings and 3D
  • Voi & Tier join key EC expert mobility group
    February 24, 2022
    European Commission's MPMF aims to drive mobility change, with emphasis on MaaS
  • Infrastructure and the autonomous vehicle
    December 12, 2014
    Harold Worrall ponders the effect of autonomous vehicles on transportation infrastructure. For the last century the transportation industry has been focused on the supply of infrastructure to support the ever growing fleet of vehicles and the greater number of miles covered by each vehicle. Our focus has been planning, funding, designing, building and maintaining roadways. Politicians, engineers, planners, financial managers … all of us have had this focus. We have experienced demand growth since the first