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Smooth trajectory interpolation by polynomial methods.

License: Apache License 2.0

MATLAB 51.88% Python 48.12%

polynomialinterpolation's Introduction

Polynomial Interpolation(多项式曲线插值)

In this project, we provide the source code of polynomial interpolation methods for smooth trajectory interpolation, including the linear interpolation, parabolic interpolation, cubic interpolation and interpolation of polynomial with five degrees. There are two branchs for both Matlab and Python. The experimental results are shown in following pictures.

在这个项目里面,我们提供多项式插值的源代码,包括线性插值、抛物线插值、三次多项式插值和五次多项式插值,提供Matlab和Python两个版本的代码。实验结果如下图所示:

1. 线性插值(Linear trajectory)

image

2. 抛物线插值(Parabolic trajectory)

image

3. 三次多项式插值(Cubic trajectory)

image

4. 五次多项式插值(Polynomial of degree five)

image

5. 结果对比(Comparison)

image


获取本项目代码附带的文章教程有以下3个途径(For tutorials):

  1. 知乎专栏【AI与机器人】:https://zhuanlan.zhihu.com/c_1212783320150577152
  2. CSDN博客【博士的沙漏】:https://blog.csdn.net/shakehands2012
  3. 微信公众号:博士的沙漏。

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更多联系方式(More contact information):

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