Submassion on Extended Kalman Filter Project

The goals of this project are the following:

• Implement the extended Kalman filter based lidar & radar sensor fusion algorithm
• Achieve the desired precision on the given test dataset

all the code about the EKF is in the ./src

my demo

Tracking Accuracy

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Algorithm performance on dataset 1 & 2 are as follows:

Dataset	RMSE[px, py, vx, vy]
Dataset1	[0.0973, 0.0855, 0.4513, 0.4399]
Dataset2	[0.0726, 0.0965, 0.4216, 0.4932]

Which meets the required accuracy.