百度发布物理 AI 世界模型 Apollo World
Apollo World, our world model for physical AI, was unveiled yesterday at Baidu AI Day in Shenzhen!
百度在深圳 AI Day 上发布面向物理 AI 的世界模型 Apollo World，可将道路复杂交互和罕见驾驶场景转化为可重复、可控的仿真，用于自动驾驶系统的训练与测试。该模型支持能自主决策并响应车辆减速、变道、让行的 AI 交通智能体，实时生成模拟摄像头、LiDAR 等传感器数据，并覆盖虚拟城市中从接单到送达的完整行程。Apollo World 已用于 Apollo Go 的测试与验证。
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百度官方披露 Apollo World 的能力构成与 Apollo Go 的落地方式，可了解世界模型如何用于自动驾驶训练与验证。
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Apollo World, our world model for physical AI, was unveiled yesterday at Baidu AI Day in Shenzhen!
It turns complex interactions on the road and rare driving scenarios into repeatable, controllable simulations for training and testing autonomous driving systems. - AI traffic agents that make their own decisions and react as autonomous vehicles slow down, change lanes, or yield - Simulated camera, LiDAR, and other sensor data generated in real time, helping autonomous vehicles sense and respond to a virtual world that changes with their actions - Complete rides between any two locations in a virtual city, from accepting a ride request to dropping off passengers - A technology stack suited to robotics and other physical AI applications
Apollo World is already part of Apollo Go's testing and validation. What we learn from those virtual trips helps us improve how the vehicles drive on real roads.