Udacity: Intro To Self Driving Cars

C++ Basics and Performance Programming

This module was the first step in a rewarding journey towards C++ expertise. By comparing programs previously written in Python to C++, the performance benefits became strikingly obvious. We also explored how to write good code that runs correctly. We focused primarily on low level features of C++, but discussed other best practices as well.

Course Description: https://www.udacity.com/course/intro-to-self-driving-cars--nd113

Project Description:

The goal of this project was to take my python code I wrote when you I implemented the two dimensional histogram filter and translate it into C++.The functions I wrote are in the helpers.cpp and localizer.cpp files.

I can evaluate the correctness of my code by compiling tests.cpp and then running the output. Do this by running the following from the command line.

g++ -std=c++11 tests.cpp
./a.out

Program output

! - normalize function worked correctly!

! - blur function worked correctly!
! - initialize_beliefs function worked correctly!

! - move function worked correctly with zero blurring

! - sense function worked correctly