145 Open source projects that are alternatives of or similar to noahcar

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

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

Scenarios, tutorials and demos for Autonomous Driving

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

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

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

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

An awesome list of self-driving cars

Self-Driving Car Simulator

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

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.

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

Automated Driving in NFS using CNN.

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

Lidar Obstacle Detection

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

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

Udacity自动驾驶课程第一期

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

Be Driven 🚘

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

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

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

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

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

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））

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

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

Example codes of new book ROS Robotics Projects

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

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

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

Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019)

Lane Detection Module using C++ and OpenCV

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

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

Third Project of the Udacity Self-Driving Car Nanodegree Program

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

Udacity Self-Driving Car Engineer Nanodegree projects.

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

Semantic segmentation for classifying road. "Fully Convolutional Networks for Semantic Segmentation (2015)" implemented using TF

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

Human Trajectory Prediction Dataset Benchmark (ACCV 2020)

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

使用树莓派3b来实现无人驾驶汽车

真AI人工智能

PyTorch Implementation of PIXOR

Differentiable Duckietown

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

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

Grid-GCN for Fast and Scalable Point Cloud Learning

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

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

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

Udacity Self-Driving Car Nanodegree - Path Planning Project

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

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

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

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