The Udacity open source self-driving car project
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Updated
Feb 23, 2017 - Jupyter Notebook
The Udacity open source self-driving car project
C++ implementation of Unscented Kalman Filter
In this project, I use advanced Computer Vision techniques such as Gradient Thresholds and perspective transformations to detect Lane Lines
Turn-in project for Udacity's self-driving car program regarding PID control of a simulated car
Autonomous Vehicles
Vehicle Detection with Convolutional Neural Network
Turn-in project for Udacity's self-driving car program related to using MPC for car simulator control
Simple lane detection from video stream. Pipiline to used in self driving cars.
Set of advanced computer vision techniques to identify and track the lane lines in live stream of video
A PID controller for 2D vehicle trajectories
Detect and track vehicles in live stream of video from moving car using advnaced computer vision and machine learning techniques.
A CNN built with Keras and trained to predict steering angles from camera input
Identify lane lines on the road, from both images and video, using OpenCV.
Classify road signs using a deep convolutional neural network.
Clone driving behavior using a deep convolutional neural network (CNN).
Curated List of Self-Driving Cars Resources
Lane Finding Project for Self-Driving Car ND
A few projects towards gaining knowledge of developing autonomous vehicles using Computer Vision and Deep Learning.
semantic segmentation for scene understanding
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