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Rivian's acquisition of Third Dimension AI points to a practical bottleneck in autonomous driving: collecting enough rare, dangerous scenarios on real roads to validate models. Generating controllable 3D environments from real-world data is a bid to make that validation synthetic and scalable. The December early-access program in California and Florida will be a more useful test, since it will show whether simulation-driven validation translates into supervised driving features that work outside the lab.
Rivian Acquires AI Firm Third Dimension to Speed Up Autonomous Driving Development with 3D Simulation
U.S. electric vehicle maker Rivian announced on October 22 that it has acquired artificial intelligence company Third Dimension AI to accelerate the development and validation of its autonomous driving systems. Third Dimension AI specializes in using real-world data to generate high-precision, controllable 3D virtual environments, enabling large-scale simulation of complex driving scenarios and reducing the reliance of autonomous driving models on testing for rare dangerous situations on real roads. Meanwhile, Rivian plans to launch an invitation-only early access program for autonomous driving in California and Florida in December this year, offering some second-generation R1 and R2 owners point-to-point autonomous driving features that require driver supervision. (Sina Finance)
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