Waymo explains AI behind 200M driverless miles
Waymo has outlined the AI architecture behind more than 200 million fully driverless miles, from sensor fusion to safety validation.
The company published an account describing ten lessons drawn from that mileage, covering sensor design, model architecture, and the internal checks it applies before allowing new capabilities onto public roads. Waymo frames the lessons as evidence that its Driver system is making roads safer in the cities it operates in, a claim based on the company’s own safety data rather than independent third-party verification.
Waymo’s findings address what it calls one of the two most argued questions in autonomous vehicle development: whether cameras alone can achieve full autonomy. The company says its data across 200 million miles shows they cannot, and that safe operation at scale requires combining cameras, lidar, and radar.
Each sensor covers a distinct job in that arrangement. Lidar builds the 3D geometry of the surrounding environment...
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