一种自动驾驶车辆在规划轨迹中的相对定位方法

By using cubic spline interpolation and zigzag projection to determine the nearest temporal and spatial reference points for autonomous vehicles, the problem of discontinuity and singularity in relative positioning in existing methods is solved, resulting in smoother vehicle motion control and improved overall vehicle response quality for autonomous driving.

CN115900747BActive Publication Date: 2026-07-17上海友道智途科技有限公司

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
上海友道智途科技有限公司
Filing Date
2022-12-16
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing autonomous driving trajectory planning relative positioning methods, the solution processes for the nearest time reference point and the nearest space reference point are independent of each other, which may lead to jumps and singularities. Furthermore, the connection of straight segments cannot reflect curvature information, resulting in unsmooth vehicle movement and affecting comfort.

Method used

A piecewise polynomial function of discrete points of spatiotemporal trajectory is constructed using a cubic spline interpolation algorithm. Combined with the bisection indexing method and the polygonal projection method, the nearest reference point in time and space is determined. Singularities and discontinuities are avoided by using cubic spline curves and the polygonal projection method, providing smooth relative positioning input.

Benefits of technology

It improves the motion response quality of autonomous vehicles in the planned trajectory, reduces vehicle motion vibration and unevenness, and enhances overall vehicle comfort and control precision.

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Abstract

一种新的车辆在规划轨迹中的相对定位方法。该方法通过“平面坐标(x,y)+行驶距离s+时间t”方式定义的“时空轨迹离散点”为规划轨迹输入,以车辆绝对位置坐标P(x,y)和绝对时刻t为当前状态输入,通过一系列数学方法和运算步骤,输出车辆在规划轨迹中的“时间最近参考点”和“空间最近参考点”作为相对定位结果。相对定位模块输出的“时间最近参考点”和“空间最近参考点”具有时空连续性和光滑性,为后续自动驾驶控制执行模块提供高品质的相对定位输入。
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