226 Open source projects that are alternatives of or similar to Awesome Self Driving Cars

Be Driven 🚘

Self Driving Cars Longitudinal and Lateral Control Design

an awesome list of self-driving algorithms, software, tools

Scenarios, tutorials and demos for Autonomous Driving

Lane Detection for Self Driving Car

My path-planning pipeline to navigate a car safely around a virtual highway with other traffic.

无人驾驶的资源列表中文版

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.

Vehicle State Estimation using Error-State Extended Kalman Filter

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

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.

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

Autonomous RC Car using Neural Networks, Python and Open CV

Estimating the orientation and the relative dimensions of vehicles by producing a 3d bounding frame

Lidar Obstacle Detection

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

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

An open autonomous driving platform

Implementation of the paper "End to End Learning for Self-Driving Cars"

Bird's eye/Top Down view generation and mapping with deep learning.

[arXiv] What-If Motion Prediction for Autonomous Driving ❓🚗💨

收集深度学习相关的awesome 资源列表,欢迎补充

Open-source simulator for autonomous driving research.

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

Self-Driving Car Simulator

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

A tool converting Waymo dataset format to Kitti dataset format.

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

Dataflow system for building self-driving car and robotics applications.

Visualizing lidar data using Uber Autonomous Visualization System (AVS) and Jupyter Notebook Application

Vehicle Detection using Mask R-CNN and Computer Vision based Lane Detection

C++ implementation of Model Predictive Control(MPC)

A reinforcement learning environment for self-driving cars in the browser.

An awesome list of self-driving cars

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

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

Udacity Self-Driving Car Engineer Nanodegree projects.

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

Automated Driving in NFS using CNN.

Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.

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

Human Trajectory Prediction Dataset Benchmark (ACCV 2020)

Learning human driver models from NGSIM data with imitation learning.

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

Library implementing the Responsibility Sensitive Safety model (RSS) for Autonomous Vehicles

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

Webots Robot Simulator

PyTorch Implementation of PIXOR

Lane Detection Module using C++ and OpenCV

capsule networks that achieves outstanding performance on the German traffic sign dataset

Research platform for 3D object detection in PyTorch.

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

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

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

Grid-GCN for Fast and Scalable Point Cloud Learning

motion planning algorithms with demos for various state-spaces

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

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

Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).