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https://github.com/yashbansod/udacity-self-driving-car

My projects for Udacity's Self Driving Car Nanodegree program.
https://github.com/yashbansod/udacity-self-driving-car

behavioral-cloning camera-calibration computer-vision kalman-filter keras lane-detection nanodegree neural-network self-driving-car tensorflow traffic-sign-classification udacity

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My projects for Udacity's Self Driving Car Nanodegree program.

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README

        

# 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](https://in.udacity.com/course/self-driving-car-engineer-nanodegree--nd013)

## Project Contents

### [Camera-Calibration](./Camera-Calibration)

The IPython notebook in this repository contains code to calculate the camera matrix and distortion coefficients







GOPR0035







undist_GOPR0035

### [Lane-Lines](./Lane-Lines)

**Finding Lane Lines on the Road**







solidWhiteCurve







solidYellowCurve







whiteCarLaneSwitch


### [Advanced-Lane-Lines](./Advanced-Lane-Lines)

**Finding Lane Lines on the Road (Advanced Algorithm)**







Test Image







Lane Boundary Overlay


### [Traffic-Sign-Classifier](./Traffic-Sign-Classifier)

**Deep Learning based Traffic Sign Classification**

### [Behavioral-Cloning](./Behavioral-Cloning)

**Deep Learning based Behavior Cloning**







Center Camera Image







Left Camera Image







Right Camera Image









Center Camera Image







Left Camera Image







Right Camera Image


### [Extended-Kalman-Filter](./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.