Top 143 autonomous-driving open source projects

TensorFlow implementation of ENet, trained on the Cityscapes dataset.

CARMA Platform is built on robot operating system (ROS) and utilizes open source software (OSS) that enables Cooperative Driving Automation (CDA) features to allow Automated Driving Systems to interact and cooperate with infrastructure and other vehicles through communication.

Intensity Scan Context based full SLAM implementation for autonomous driving. ICRA 2020

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

An awesome list of self-driving cars

Papers and Datasets about Point Cloud.

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

3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling

Autonomous Racing Car using NVIDIA Jetson TX2 using end-to-end driving approach. Paper: https://arxiv.org/abs/1604.07316

DBNet: A Large-Scale Dataset for Driving Behavior Learning, CVPR 2018

An OpenAI gym wrapper for CARLA simulator

Built a real-time lane departure warning system with a monocular camera, using OpenCV.

Python sample codes for robotics algorithms.

Real-time path planning for vehicles.

Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud

Scenarios, tutorials and demos for Autonomous Driving

Be Driven 🚘

Code release for Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation (CVPR 2020)

TensorFlow implementation of SqueezeDet, trained on the KITTI dataset.

Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

An opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation

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

EU Long-term Dataset with Multiple Sensors for Autonomous Driving

Automated Driving in NFS using CNN.

Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

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

Steps to reproduce training results for the paper Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?

DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization

Lidar Obstacle Detection

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

Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.

Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images

3d bounding box estimation from monocular image based on 2d bounding box

Waymo Open Dataset

MonoLayout: Amodal Scene Layout from a single image

⚡️ The Mobile Robot Programming Toolkit (MRPT)

Ros package for basic autonomous lane tracking and object detection

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

"Learning by Cheating" (CoRL 2019) submission for the 2020 CARLA Challenge

Autonomous driving: Tensorflow implementation of the paper "End-to-end Driving via Conditional Imitation Learning"

PGDrive: an open-ended driving simulator with infinite scenes from procedural generation

The Official Deep Learning Framework for Route-based Place Recognition

DMPR-PS: A Novel Approach for Parking-Slot Detection Using Directional Marking-Point Regression

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

A Kitti Road Segmentation model implemented in tensorflow.

DISCONTINUED - MIGRATED TO TIANRACER - A Low cost Autonomous Driving Car Educational and Competition Kit

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

Euro Truck Simulator 2 autonomous driving solution

Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

Open-source simulator for autonomous driving research.

A minimalist environment for decision-making in autonomous driving

A selection of state-of-the-art research materials on trajectory prediction

Collections of Apollo Platform Software

Software for the AutoRally platform

A deep neural network that learns to drive in video games

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

Real-time Joint Semantic Reasoning for Autonomous Driving

A list of references on lidar point cloud processing for autonomous driving

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