Oxa has unveiled a tie-up with US chipmaker Nvidia to accelerate its plans for autonomous commercial vehicles.
The Oxford-based startup said it plans to use Nvidia’s Cosmos foundation models to automate repetitive driving tasks by work vehicles, such as fixed-route shared passenger transportation, airport ground transportation, port and retail yard trailer/container shunting, asset monitoring, factory line parts logistics, and hub-to-hub truck logistics.
The firm said that these tasks, currently performed by around 400m work vehicles globally, are typically completed on uniform routes, and are place-specific – making them prime candidates for automation.
Through its collaboration with Nvidia, Oxa is able to generate vast amounts of diverse and realistic synthetic data, expediting the training and validation of its software while accelerating the development and deployment of reliable self-driving solutions.
“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, CEO at 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.”
Nvidia this week also announced a tie-up with Ford owner General Motors, in which the companies will work together to build custom AI systems using Nvidia accelerated compute platforms to train AI manufacturing models for optimising GM’s factory planning and robotics.
GM said it will also use Nvidia’s Drive AGX for in-vehicle hardware for future advanced driver-assistance systems and in-cabin enhanced safety driving experiences.
“The era of physical AI is here,” said Jensen Huang, founder and CEO of Nvidia.
“We’re transforming transportation, from vehicles to the factories where they’re made.”
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