Leaders emphasize building scalable, software-defined autonomous fleets that can adapt under uncertainty and deploy across fleets and platforms.

Autobrains’ approach centers on camera-based perception and a multi-agent AI architecture that interprets traffic to derive safe behavior, reducing training needs.

Uber is collaborating with Autobrains and Nvidia to pilot a robotaxi service in Munich, with rollout contingent on German regulatory approvals.

The platform is OEM-agnostic and manufacturer-independent, enabling deployment across multiple brands and models to support scalable expansion to other European cities if rules permit.

The fleet will operate within defined Munich areas and rely on Nvidia’s computing stack, integrating with existing serial-production vehicles from several manufacturers.

Autobrains emphasizes cost efficiency by relying on camera sensors rather than high-cost radars or LIDAR, with satellite imagery as a baseline and optional radar expansion if needed.

The article is authored by Christoph Kapalschinski and produced for WELT and Business Insider.

Nvidia’s computing platform underpins the technology stack for the project.

Markets reacted with modest declines in Uber and Nvidia shares, reflecting broader tech stock pressure rather than project specifics.

Uncertainty remains about regulatory timelines and pilot details, including whether early tests will require safety drivers and defined test zones.

Investors and partners include prominent automotive players and risk capital backers, with industry figures involved in governance.

The collaboration focuses on networked participation, combining autonomous tech with market access and fleet management to create repeatable, scalable fleet infrastructure.