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Lane Model and Calculation of Lane Geometric Structure and Vehicle Deviation Angle and Position in Lane for Intelligent Vehicle

机译:智能车辆车道几何结构和车辆偏差角度的车道模型及轨道位置

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Lane model, lane geometric structure calculation, and vehicle deviation angle and position calculation is a crucial part in automatic drive of intelligent vehicle. In this paper, we introduce a lane model and calculation equations of lane geometric structure and vehicle deviation angle and position in lane. Firstly, we establish the world coordinate system and derive the lane boundary equation based on the actual lane alignment. Secondly, we derive the lane boundary equation in the camera coordinate system through the coordinate transformation. Then we build up the image coordinate system and the pixel coordinate system and derive the lane projective parameter model. Finally, we derive the calculation equations of lane geometric structure and vehicle deviation angle and position in lane. For we introduce the camera roll angle, the lane curvature change rate, and the reasonable assumption in the derivation, the lane model and the calculation are more general and accurate.
机译:车道模型,车道几何结构计算和车辆偏差角和位置计算是智能车辆自动驱动的关键部分。在本文中,我们介绍了车道几何结构和车辆偏差角的车道模型和计算方程。首先,我们建立世界坐标系,基于实际车道对齐导出车道边界方程。其次,我们通过坐标转换导出相机坐标系中的车道边界方程。然后我们建立图像坐标系和像素坐标系,并导出车道投影参数模型。最后,我们得出了车道几何结构和车辆偏差角度的计算方程和车道中的位置。对于我们介绍相机滚动角度,车道曲率变化率和推导中的合理假设,车道模型和计算更加一般和准确。

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