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

  • WiM eases structural health worries
    February 12, 2024
    Concerns about infrastructure are leading road authorities to consider the importance of Weigh in Motion solutions to monitor the wellbeing of their roads – and particularly bridges – finds Adam Hill
  • SwRI uses AI on Tennessee integrated corridor
    April 22, 2021
    SwRI is developing machine learning algorithms to help coordinate traffic management
  • Overture is open to the bigger picture
    June 18, 2024
    Four of the biggest players in the world of mapping have joined forces to create easy-to-use, interoperable open data that will power the next generation of maps. Kevin Borras talks collaborative interoperability with Overture Map Foundation’s Marc Prioleau and TomTom’s Willem Strijbosch
  • American Center for Mobility appoints Microsoft data and cloud provider
    April 10, 2018
    The American Center for Mobility (ACM) has appointed Microsoft as its exclusive data and cloud provider to help develop connected and automated vehicles (C/AVs) as well as mobility technologies. The facility officially opened in Ypsilanti Township on the 4 April 2018. ACM is part of the PlanetM, a collaboration of private industry, government and institutions of higher learning that aims to change the way people and goods are transported across all modes of transportation. Both partners will design a