udacity-self-driving-car
This Github repository was created for sharing the application implemented for the projects of Udacity’s Self Driving Car Nanodegree program
Project Contents
Camera-Calibration
The IPython notebook in this repository contains code to calculate the camera matrix and distortion coefficients
![]() GOPR0035 |
![]() undist_GOPR0035 |
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Lane-Lines
Finding Lane Lines on the Road
![]() solidWhiteCurve |
![]() solidYellowCurve |
![]() whiteCarLaneSwitch |
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Advanced-Lane-Lines
Finding Lane Lines on the Road (Advanced Algorithm)
![]() Test Image |
![]() Lane Boundary Overlay |
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Traffic-Sign-Classifier
Deep Learning based Traffic Sign Classification

Behavioral-Cloning
Deep Learning based Behavior Cloning
![]() Center Camera Image |
![]() Left Camera Image |
![]() Right Camera Image |
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![]() Center Camera Image |
![]() Left Camera Image |
![]() Right Camera Image |
Extended-Kalman-Filter
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.