RoboND-MCL-Lab

In this project MCL algorithm can be observed step by step through generated images.

Enter the code in the designated section:

//####   DON'T MODIFY ANYTHING ABOVE HERE! ENTER CODE BELOW ####
		
//TODO: Graph the position of the robot and the particles at each step

Also there are some test cases that cam be run to ensure that each section in the project can be evaluted alone.

Dependencies for Running Locally

cmake >= 2.8
- All OSes: click here for installation instructions
make >= 4.1 (Linux, Mac), 3.81 (Windows)
- Linux: make is installed by default on most Linux distros
- Mac: install Xcode command line tools to get make
- Windows: Click here for installation instructions
gcc/g++ >= 5.4
- Linux: gcc / g++ is installed by default on most Linux distros
- Mac: same deal as make - install Xcode command line tools
- Windows: recommend using MinGW
Matplot++ >= (check requirements in the repo)
- For all platform and OS Click here for installation instructions

Clone this repo.
Make a build directory: mkdir Debug && cd Debug
Then source the workspace: source devel/setup.bash
Compile: cmake .. && make --> (Linuex OS) or cmake .. -G "MinGW Makefiles" & mingw32-make (windows)
Optional this flage in cmake USE_UNIT_TESTING can be enable to allow testing using gtest.

After running the program, 50 images will be generated in the Images folder.