awesome-self-driving-car

2022

2022

2022

2013

Awesome introduction by

Apollo is an open source autopilot platform that contains almost everything. Including hardware, systems, vehicle platforms, cloud services, etc. You can quickly build a self-driving system of your own by Apollo.

The original Autoware project built on ROS 1. Launched as a research and development platform for autonomous driving technology.

The Open Motion Planning Library.

OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products.

Openpilot is an open source driver agent. Use the iphone to control the car, which provides adaptive cruise control (ACC) and lane keeping assist (LKAS).

Point Cloud Library (PCL) is a standalone, large open project for 2D / 3D imagery and point cloud processing. Widely used to process laser point cloud data.

Note: it's a Chinese tutorial. This is an open class between Baidu and Peking University. It is very comprehensive and detailed, which is a good introductory course.

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)

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.

Large vision benchmark dataset with

7855 annotations on 6610 frames.

NVIDIA

Nullmax

Cruise Automation

Lyft

CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems.

The LGSVL Simulator is a simulator that facilitates testing and development of autonomous driving software systems. The LGSVL simulator is developed by the Advanced Platform Lab at the LG Electronics America R&D Center, formerly the LG Silicon Valley Lab.

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