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update README

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Atsushi Sakai
2018-01-27 12:29:58 -08:00
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README.md
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@@ -11,7 +11,7 @@ Python codes for robotics algorithm.
* [How to use](#how-to-use)
* [Localization](#localization)
* [Extended Kalman Filter localization](#extended-kalman-filter-localization)
* [Unscented Kalman Filter local](#unscented-kalman-filter-local)
* [Unscented Kalman Filter localization](#unscented-kalman-filter-localization)
* [Path Planning](#path-planning)
* [Dynamic Window Approach](#dynamic-window-approach)
* [Grid based search](#grid-based-search)
@@ -92,7 +92,7 @@ the gren point is positioning observation (ex. GPS), and the red line is estimat
The red ellipse is estimated covariance ellipse with EKF.
## Unscented Kalman Filter local
## Unscented Kalman Filter localization
![2](https://github.com/AtsushiSakai/PythonRobotics/blob/master/Localization/unscented_kalman_filter/animation.gif)
@@ -102,7 +102,7 @@ The lines and points are same meaning of the EKF simulation.
Ref:
- [Discriminatively Trained Unscented Kalman Filter for Mobile Robot Localization](http://search.ebscohost.com/login.aspx?direct=true&profile=ehost&scope=site&authtype=crawler&jrnl=17379318&AN=52739994&h=B0C6Ho6FxXnBPLmrwbtA0Vs7SjkGX1Wtd5thi9v8kcEuQDJsCm934YHgbgDQX%2BdsZKlKdXcPgOgzIDtjWltfHg%3D%3D&crl=f)
- [Discriminatively Trained Unscented Kalman Filter for Mobile Robot Localization](https://www.researchgate.net/publication/267963417_Discriminatively_Trained_Unscented_Kalman_Filter_for_Mobile_Robot_Localization)
# Path Planning
@@ -486,3 +486,4 @@ Atsushi Sakai ([@Atsushi_twi](https://twitter.com/Atsushi_twi))