Rivian acquires UK AI startup Third Dimension to build 3D simulation for self-driving development
Rivian has acquired Third Dimension, a U.K. startup founded in 2024 that uses AI to turn images and video into realistic 3D worlds. Rivian plans to use the technology to turn real-world driving data into simulation environments for its advanced driver-assistance features and for the self-driving system of the robotaxis it plans to supply to Uber. Terms were not disclosed. The 15-person team will join Rivian's autonomy and AI group led by James Philbin, and Rivian may expand its London AI hub. This is business and product news with no security incident, vulnerability or threat activity described.
Detalhes técnicos
- Rivian says it receives more than 400,000 driving sequences per day from customer vehicles whose owners enabled external camera sharing. The data is described as aggregated and anonymized.
- Third Dimension's AI-based approach aims to close the gap between synthetic simulators and the real world, and to simulate rare edge cases without waiting for them to occur on the road.
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Rivian acquires UK AI startup Third Dimension to build 3D simulation for self-driving development
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Rivian has acquired Third Dimension, a U.K. startup founded in 2024 that uses AI to turn images and video into realistic 3D worlds. Rivian plans to use the technology to turn real-world driving data into simulation environments for its advanced driver-assistance features and for the self-driving system of the robotaxis it plans to supply to Uber. Terms were not disclosed. The 15-person team will join Rivian's autonomy and AI group led by James Philbin, and Rivian may expand its London AI hub. This is business and product news with no security incident, vulnerability or threat activity described.
Technical Details
- Rivian says it receives more than 400,000 driving sequences per day from customer vehicles whose owners enabled external camera sharing. The data is described as aggregated and anonymized.
- Third Dimension's AI-based approach aims to close the gap between synthetic simulators and the real world, and to simulate rare edge cases without waiting for them to occur on the road.