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Lane following combining vision and DGPS

机译:结合视觉和DGPS的车道

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A real-time system forcusing on lane sensing for autonomous vehicle guidance is described which runs on commercial hardware. For safe and comfortable vehicle control even on winding roads with bumpy surfaces, the ego-sate of the vehicle as well as well as lane geometry needs to be known. This information is needed with high precision and reliability. For the sake of safety, two redundant sensor systems are employed. The first is a video camera that tracks visual lane boundaries such as white or yellow road markers. The second is a high precision location system using DGPS (Differential Global Positioning System) combined with an INS (Inertial Navigation System) for ego-state recognition. The achieved information is related to a high precision digital map.
机译:描述了一种用于在自动硬件上运行的,用于自动驾驶的车道检测的实时系统。为了即使在崎bump不平的弯曲道路上也能安全,舒适地进行车辆控制,需要知道车辆的自我状态以及车道几何形状。高度准确和可靠地需要此信息。为了安全起见,采用了两个冗余传感器系统。第一个是摄像机,可跟踪可见的车道边界,例如白色或黄色的道路标记。第二个是结合DGPS(差分全球定位系统)和INS(惯性导航系统)进行自我状态识别的高精度定位系统。所获得的信息与高精度数字地图有关。

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