Self-Driving Car Engineer Nanodegree Program
In this project you will utilize a 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 than the tolerance outlined in the project rubric.
This project involves the Term 2 Simulator which can be downloaded here
No changes have been made to the CMakeLists.txt. Simple cmake
and make
should be enough to compile
- For dataset 1, the RMSE (X,Y, VX,VY) are 0.0973, 0.0855, 0.4513, 0.4399 which is under the expected .11, .11, 0.52, 0.52 values.
- For dataset 2, the RMSE (X,Y, VX,VY) are 0.0726, 0.0967, 0.4579, 0.4966 which is under the expected .11, .11, 0.52, 0.52 values.
Code has been checked for algorithmic correctness. There does not seem to be any un-necessary code either.