Mobileye 展示 REM™ 道路智能表示如何融合车道线、可行驶路径、道路边缘、车辆运动与驾驶行为等多层数据,构建对驾驶环境的详细理解。视频中,REM 在收费站场景提前预测可行驶轨迹,为道路边界、车道结构、人群速度及多层桥梁汇入路段提供清晰可行驶路径。该能力用于支持 ADAS 与自动驾驶系统应对复杂真实路况。
Roads are complex, hiding many challenging scenarios for advanced ADAS systems to handle.
Mobileye REM™ provides a rich road intelligence representation built from multiple layers of data. Lane markings, drivable paths, road edges, vehicle motion patterns, driving behavior patterns, and other road attributes combine to create a detailed understanding of the driving environment.
This comprehensive road understanding helps support ADAS and autonomous driving systems across a wide range of real-world challenging conditions.
In this video, see how REM predicts the drivable trajectories at a toll booth, laying out data in advance to prepare for road borders, lane structure, crowd speed and a clear drivable path as the road merges on this multi-level bridge.
来源:Mobileye · x.com