This is the repository about my implementation of Particle filter project of Self Driving Car Nanodegree programme.
This Readme is updated from the original readme file
The Project story is,
Your robot has been kidnapped and transported to a new location! Luckily it has a map of this location, a (noisy) GPS estimate of its initial location, and lots of (noisy) sensor and control data.
In this project you will implement a 2 dimensional particle filter in C++. Your particle filter will be given a map and some initial localization information (analogous to what a GPS would provide). At each time step your filter will also get observation and control data.
from the original readme,
... some scripts have been included to streamline this process, these can be leveraged by executing the following in the top directory of the project:
1. ./clean.sh
2. ./build.sh
3. ./run.sh
Tips for setting up your environment can be found [here](https://classroom.udacity.com/nanodegrees/nd013/parts/40f38239-66b6-46ec-ae68-03afd8a601c8/modules/0949fca6-b379-42af-a919-ee50aa304e6a/lessons/f758c44c-5e40-4e01-93b5-1a82aa4e044f/concepts/23d376c7-0195-4276-bdf0-e02f1f3c665d)
I took help from other repositories, to debug my code. So , it is fair to mention them
This following image, is a demonstration of the Particle Filter toy simulation. The Blue car is the actual location of the car, the blue circle around this car is the predicted location of the car. The cross shaped points are the land marks. The target is to move around the loop and correctly predict the location of the car for a certain time period.
The video link
