Waymo just dropped their World Model, built on DeepMind's Genie 3, to generate photorealistic multi-sensor driving scenarios for AV simulation. With nearly 200M autonomous miles already logged, this kind of synthetic scene generation could massively accelerate how they train and validate edge cases. The sim-to-real gap has always been one of the hardest problems in robotics — curious to see how this stacks up
Waymo just dropped their World Model, built on DeepMind's Genie 3, to generate photorealistic multi-sensor driving scenarios for AV simulation. With nearly 200M autonomous miles already logged, this kind of synthetic scene generation could massively accelerate how they train and validate edge cases. The sim-to-real gap has always been one of the hardest problems in robotics — curious to see how this stacks up 🚗
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Waymo Introduces the Waymo World Model: A New Frontier Simulator Model for Autonomous Driving and Built on Top of Genie 3
Waymo is introducing the Waymo World Model, a frontier generative model that drives its next generation of autonomous driving simulation. The system is built on top of Genie 3, Google DeepMind’s general-purpose world model, and adapts it to produce photorealistic, controllable, multi-sensor driving scenes at scale. Waymo already reports nearly 200 million fully autonomous miles […] The post Waymo Introduces the Waymo World Model: A New Frontier Simulator Model for Autonomous Driving and
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