145 Open source projects that are alternatives of or similar to self-driving-car

MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions

真AI人工智能

Grid-GCN for Fast and Scalable Point Cloud Learning

Lane Detection Module using C++ and OpenCV

基于树莓派的自动驾驶小车，利用树莓派和tensorflow实现小车在赛道的自动驾驶。（Self-driving car based on raspberry pi（tensorflow））

Human Trajectory Prediction Dataset Benchmark (ACCV 2020)

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

Assignments and notes for the Self Driving Cars course offered by University of Toronto on Coursera

Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier

Learn to map surrounding vehicles onto a bird's eye view of the scene.

detect curved lane lines using HSV filtering and sliding window search.

Open-source simulator for autonomous driving research.

Udacity Self-Driving Car Engineer Nanodegree projects.

Project on design and implement neural network that maximises driving speed of self-driving car through reinforcement learning.

OpenCV in Python for lane line and vehicle detection/tracking in autonomous cars

Roslaunch to visualize a rosbag file from Udacity (DiDi Challenge)

PyTorch Implementation of PIXOR

Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.

Third Project of the Udacity Self-Driving Car Nanodegree Program

Differentiable Duckietown

The multi-agent version of TORCS for developing control algorithms for fully autonomous driving in the cluttered, multi-agent settings of everyday life.

Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.

Object detection / tracking / fusion based on Apollo r3.0.0 perception module in ROS

A protocol for real-time transfer and visualization of autonomy data

Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

Automated Driving in NFS using CNN.

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

PyTorch implementation for 3D Bounding Box Estimation Using Deep Learning and Geometry

IJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo

Lidar Obstacle Detection

Scenarios, tutorials and demos for Autonomous Driving

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

Unofficial PyTorch implementation of "RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving" (ECCV 2020)

An advanced lane-finding algorithm using distortion correction, image rectification, color transforms, and gradient thresholding.

Be Driven 🚘

A simple self driving car in GTAV that uses the Xception deep neural network model with DeepGTAV

Build a CNN network to predict 3D bounding box of car from 2D image.

Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking

Implementing a self driving car using a 3D Driving Simulator. CNN will be used for training

Self-Driving Car Simulator

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

ROS package to control an autonomous RC vehicle based on Raspberry Pi3

Scripts and tools to easily communicate with DeepGTAV. In the future a self-driving agent will be implemented.

Udacity Self-Driving Car Engineer Nanodegree. Project: Extended Kalman Filters

An awesome list of self-driving cars

A plugin for GTAV that transforms it into a vision-based self-driving car research environment.

Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.

基于BP神经网络的自动驾驶模型车。包含收集数据、控制模型生成与在线/离线自动运行所需的程序。

An awesome list of self-driving cars

A deep neural network based self-driving car, that combines Lego Mindstorms NXT with the computational power of a Raspberry Pi 3.

Simulation of self-driving vehicles in Unity. This is also an implementation of the Hybrid A* pathfinding algorithm which is useful if you are interested in pathfinding for vehicles.

Stanford Code From Cars That Entered DARPA Grand Challenges

Open source hardware and software platform to build a small scale self driving car.

A collection of all projects pertaining to different layers in the SDC software stack

Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator

Example codes of new book ROS Robotics Projects

使用树莓派3b来实现无人驾驶汽车

An unscented Kalman Filter implementation for fusing lidar and radar sensor measurements.

A End to End CNN Model which predicts the steering wheel angle based on the video/image