Extended Kalman Filter Project
This project is part of the Self-Driving car nanodegree program by udacity. It implements an Extended Kalman Filter for a self driving car in C++.
We receive LIDAR and Rada sensor data through WebSockets from the term 2 simulator and we apply the Kalman Filter Predict and Update to send back the result to the simulator.
Compilation
Compilation is done by creating a new directory called build and executing cmake .. && make inside of it.
More info can be found in the base code repository.