首页> 外国专利> POLYNOMIAL-FIT BASED REFERENCE LINE SMOOTHING METHOD FOR HIGH SPEED PLANNING OF AUTONOMOUS DRIVING VEHICLES

POLYNOMIAL-FIT BASED REFERENCE LINE SMOOTHING METHOD FOR HIGH SPEED PLANNING OF AUTONOMOUS DRIVING VEHICLES

机译:基于多项式拟合的参考线平滑方法在无人驾驶汽车的高速规划中

摘要

Systems and methods for smoothing a reference line for an autonomous driving vehicle are described. In a method, a raw reference line can be generated from a high definition map and routing results, and can be truncated based on a predetermined formula. The truncated raw reference line can include a number of points, each point representing a position of an autonomous driving vehicle in a global coordinate system. The number of points can be converted to points in a local coordinate system, where a polynomial curve that best fits the points are generated. The polynomial curve can subsequently be used to generate a new vertical coordinate for a horizontal coordinate of each of the number of points. The new vertical coordinates and their corresponding horizontal coordinates can be converted back to the global coordinate system. The polynomial curve can be used to derive a heading, a kappa, and a dkappa for each point in the global coordinate system.
机译:描述了用于平滑自动驾驶车辆的参考线的系统和方法。在一种方法中,原始参考线可以从高清地图和布线结果中生成,并且可以基于预定公式被截断。截短的原始参考线可以包括多个点,每个点代表自动驾驶车辆在全局坐标系中的位置。点的数量可以转换为局部坐标系中的点,在该坐标系中会生成最适合这些点的多项式曲线。多项式曲线可随后用于为多个点中的每个点的水平坐标生成新的垂直坐标。新的垂直坐标及其对应的水平坐标可以转换回全局坐标系。多项式曲线可用于导出全局坐标系中每个点的航向,kappa和dkappa。

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