StarsMyDestination / CarND-SensorFusion-KF-EKF

Udacity CarND sensor fusion using Kalman Filter and Extended Kalman Filter

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install Eigen (Mac)

brew install eigen3

ubuntu has installed Eigen already

Test Data Description

Input Data Format

L(for laser) meas_px meas_py timestamp gt_px gt_py gt_vx gt_vy

R(for radar) meas_rho meas_phi meas_rho_dot timestamp gt_px gt_py gt_vx gt_vy


Example


R 8.60363 0.0290616 -2.99903 1477010443399637 8.6 0.25 -3.00029 0

L 8.45 0.25 1477010443349642 8.45 0.25 -3.00027 0

Output file format:

est_px est_py est_vx est_vy meas_px meas_py gt_px gt_py gt_vx gt_vy

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Udacity CarND sensor fusion using Kalman Filter and Extended Kalman Filter


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Language:C++ 86.9%Language:Jupyter Notebook 10.6%Language:CMake 2.6%