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Unscented Kalman Filter

UKF
Full Video on YouTube

Objective

Utilize an Unscented Kalman Filter to estimate the state of a moving object of interest with noisy lidar and radar measurements. Passing the project requires obtaining RMSE values that are lower that the tolerance outlined in the project rubric.

What I Learned

  • UKF implimentation
  • Bayes Theorm
  • Sensor Fusion: Radar and Lidar

Languages

  • C++

About

Self-Driving Car Nanodegree Program Starter Code for the Unscented Kalman Filter Project

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  • C++ 98.6%
  • C 1.2%
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