145 Open source projects that are alternatives of or similar to Behavioral Cloning

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

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

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.

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

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

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

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

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

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

Automated Driving in NFS using CNN.

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

Advanced lane detection using computer vision

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

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

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

Self-Driving Car Simulator

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

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

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

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。

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

Stanford Code From Cars That Entered DARPA Grand Challenges

Scenarios, tutorials and demos for Autonomous Driving

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

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

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

无人驾驶的资源列表中文版

PyTorch Implementation of PIXOR

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

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

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

Grid-GCN for Fast and Scalable Point Cloud Learning

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

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

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

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

真AI人工智能

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

Differentiable Duckietown

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

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

使用树莓派3b来实现无人驾驶汽车

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

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

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））

Udacity Self-Driving Car Engineer Nanodegree projects.

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

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

Open-source simulator for autonomous driving research.

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

A deep neural network that learns to drive in video games

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

A JavaScript deep learning and reinforcement learning library.

Human Trajectory Prediction Dataset Benchmark (ACCV 2020)

Lane Detection Module using C++ and OpenCV

An awesome list of self-driving cars

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

An awesome list of self-driving cars

Be Driven 🚘

Lidar Obstacle Detection