Extended Kalman Filter (Udacity’s Autonomous Car Engineer Nanodegree, term 2, project 1)

In this project we programmed an Extended Kalman Filter in C++.

The filter performs sensor fusion of Radar and Lidar data, using a non-linear model for the update of radar data. In the video below, radar and lidar data is represented by red and blue dots. The predictions of the filter are shown as green dots.

It was a relatively easy project, since Udacity gave all the framework required for the programming task. Nonetheless, a good warm up for the more advanced topics this term.

The code for my project is hosted in github:
https://github.com/hectorratia/CarND-Extended-Kalman-Filter-Project

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