Natix to supply multi-camera data for Autoware’s E2E model

Natix Network, a decentralised multi-camera data network, has joined the Autoware Foundation as a Premium Member to supply large-scale driving data for the development of the foundation’s first open-source end-to-end (E2E) autonomous driving model. The Autoware Foundation brings together more than 100 member companies, including AMD, AWS, Arm, Red Hat and TIER IV, to develop open-source autonomous driving software.

Natix’s contribution centres on multi-camera driving footage collected across multiple continents, covering diverse road types, weather conditions and traffic patterns. Autoware plans to use the data to train its E2E driving models, develop world models for simulation, and validate system performance across regions. The Natix dataset spans more than 250 million kilometres and draws on footage from over 270,000 drivers.

Alireza Ghods, Chief Executive and co-founder of Natix, said: “Open-source autonomy needs access to serious real-world data as the industry moves toward end-to-end AI. By joining the Autoware Foundation and contributing global multi-camera driving data, we are helping the community train and validate the next generation of autonomous driving systems.”

Muhammad Zain Khawaja, Managing Director of Product at the Autoware Foundation, added: “Natix brings a large and diverse open-source data set which covers many long-tail edge case scenarios. This allows us to find the data that matters most on roads across the world to build safe, introspectable, and generalizable end-to-end AI models.”

Source: Natix