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Extended Kalman Filter Project

Self-Driving Car Engineer Nanodegree Program

In this project I utilize an extended kalman filter to estimate the state of a moving object with noisy lidar and radar measurements. Root mean squared error (RMSE) values are under 0.11 for x and y positions and under 0.56 for vx and vy.

This project involves the Term 2 Simulator which can be downloaded here

See Dataset 1.mov and Dataset 2.mov in this repo for two sample videos.

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