468 Open source projects that are alternatives of or similar to Self Driving Car In Video Games

Open-source simulator for autonomous driving research.

Self-driving RC Car ROS Software

Self Driving Cars Longitudinal and Lateral Control Design

Autonomous RC Car using Neural Networks, Python and Open CV

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

Autonomous RC Car powered by a Convoluted Neural Network implemented in Python with Tensorflow

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

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

Be Driven 🚘

Automatic Parking is an autonomous car maneuvering system (part of ADAS) that moves a vehicle from a traffic lane into a parking spot to perform parallel parking. The automatic parking system aims to enhance the comfort and safety of driving in constrained environments where much attention and experience is required to steer the car. The parking…

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

Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗

OpenDLV - A modern microservice-based software ecosystem powered by libcluon to make vehicles autonomous.

An awesome list of self-driving cars

Autonomous driving trajectory planning solution for U-Turn scenario

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

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

An open autonomous driving platform

Scenarios, tutorials and demos for Autonomous Driving

Lidar Obstacle Detection

Automated Driving in NFS using CNN.

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

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

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

Vehicle State Estimation using Error-State Extended Kalman Filter

Code for reproducing Manifold Mixup results (ICML 2019)

[CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations

This is the source code of the feasibility study for Autoware architecture proposal.

A JavaScript deep learning and reinforcement learning library.

Neural networks training pipeline based on PyTorch

A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

Self-Driving Truck in Euro Truck Simulator 2, trained via Reinforcement Learning

Segmentation models with pretrained backbones. PyTorch.

无人驾驶的资源列表中文版

Finding Lane Lines using Python and OpenCV

SO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

A car detection model implemented in Tensorflow.

Implementing machine learning algorithms from scratch.

An extension of Open3D to address 3D Machine Learning tasks

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)

Implementation of the CNN from End to End Learning for Self-Driving Cars on a Nvidia Jetson TX1 using Tensorflow and ROS

eCAL - enhanced Communication Abstraction Layer

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

BERT for Multitask Learning

Congratulation to DeepMind! This is a reengineering implementation (on behalf of many other git repo in /support/) of DeepMind's Oct19th publication: [Mastering the Game of Go without Human Knowledge]. The supervised learning approach is more practical for individuals. (This repository has single purpose of education only)

100-Days-Of-ML-Code中文版

Spleeter is Deezer source separation library with pretrained models written in Python and uses Tensorflow. It makes it easy to train source separation model (assuming you have a dataset of isolated sources), and provides already trained state of the art model for performing various flavour of separation :

74.3% MobileNetV3-Large and 67.2% MobileNetV3-Small model on ImageNet

Real-time pose estimation accelerated with NVIDIA TensorRT

A self driving toy car using end-to-end learning

A simple python OCR engine using opencv

72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

InceptionV3, InceptionV4, Inception-Resnet pretrained models for Torch7 and PyTorch

A path planning algorithm based on Hybrid A* for trailer truck

[CVPR2020] f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation https://arxiv.org/abs/2001.10331

Implement YOLOv3 with TensorFlow

Summaries of papers on machine learning, computer vision, autonomous robots etc.

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet