awesome-self-driving-cars

Awesome introduction by

State-of-the-art survey on computer vision-related problems datasets and methods for self-driving cars.

Nvidia's ground breaking paper on using end to end learning (i.e., raw camera images as the input and steering commands as the output) with a Convolutional Neural Network (CNN) for behavioral cloning.

Arguably the most friendly state to self-driving cars with no application or permit required and

It is

Application required for

Colorado

Bill

Apolloscape provides images with 10x higher resolution and pixel-level annotation. And also Provides multiple levels of scene complexity.

Semantic, instance-wise, dense pixel annotations of 30 classes.

Seven and a quarter hours (~ 80 GB) of largely highway driving. With this dataset, comma.ai's founder

More than 50,000 images and 40 classes of traffic signs. Excellent resource to benchmark your traffic sign classifier.

Large vision benchmark dataset with

Eight hours (over 280 GB) of driving data collected for their

An open-source, semantic simulator built to develop and benchmark novel behavior planners. Runs on multiple platforms and can easily be installed via PyPi.

An open-source and cross platform simulator built for drones and other vehicles. AirSim is designed as a platform for AI research to experiment with deep learning, computer vision and reinforcement learning algorithms for autonomous vehicles.

Self-driving car simulated completely by visual programming language

Moral machine provides a

This simulator is built for Udacity's Self-Driving Car Nanodegree to teach students how to train cars how to navigate road courses using deep learning. It is used for the project of

Two weeks of live classes in Bay Area taught by engineers from

This class is an introduction to the practice of deep learning through the applied theme of building a self-driving car. It is open to beginners and is designed for those who are new to machine learning, but it can also benefit advanced researchers in the field looking for a practical overview of deep learning methods and their application. By the way, it's

Udacity's flagship program is sponsored by many self-driving car hiring partners. The nanodegree program includes 3 terms: 1)

San Francisco-based startup was acquired by GM for $1B. They regularly post their self-driving videos on their

Silicon Valley startup founded by former lab mates out of Stanford University’s Artificial Intelligence Lab. Working on creating AI software for autonomous vehicles with deep learning. See their impressive drive demo

Invested $1B in an artificial intelligence startup

electric car startup formerly known as NextEV, demonstrated