1269 Open source projects that are alternatives of or similar to ai_for_robotics

This repository contains code and writeups for projects and labs completed as a part of UDACITY's first of it's kind self driving car nanodegree program.

Udacity Self-Driving Car Engineer Nanodegree projects.

Python sample codes for robotics algorithms.

Simultaneous Localization and Mapping(SLAM) also gives you a way to track the location of a robot in the world in real-time and identify the locations of landmarks such as buildings, trees, rocks, and other world features.

Robotics Toolbox for MATLAB

Slam Gmapping for ROS2

Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization (Lidar SLAM)

A collection of deep learning based localization models

UrbanNav: an Open-Sourcing Localization Data Collected in Asian Urban Canyons, Including Tokyo and Hong Kong

Distributed, Online, and Outlier Resilient SLAM for Robotic Teams

Simulations for TurtleBot3

Interactive simulation of a quantum particle in 1D.

LiDAR SLAM = FAST-LIO + Scan Context

Quadcopter Simulation and Control. Dynamics generated with PyDy.

solution of exercises of the book "probabilistic robotics"

Direct LiDAR Odometry: Fast Localization with Dense Point Clouds

Implementation for IROS2020: "GMMLoc: Structure Consistent Visual Localization with Gaussian Mixture Model"

Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.

ROS and V-REP for Robot Mapping and Localization

My small SLAM simulator to study "SLAM for dummies"

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

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

Full-python LiDAR SLAM using ICP and Scan Context

This repo includes all the projects I have finished in the Udacity Nanodegree programs

Repository for the projects needed to complete the Data Analyst Nanodegree.

Computer Vision and Machine Learning related projects of Udacity's Self-driving Car Nanodegree Program

Self Driving Car Project 6 - Sensor Fusion(Extended Kalman Filter)

Particle Filter Implementations in Python and C++, with lecture notes and visualizations

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

The aim of this project is to allow a self driving car to steer autonomously in a virtual environment.

SLAM - Simultaneous localization and mapping using OpenCV and NumPy.

A workshop on data visualization in Python with notebooks and exercises for following along.

fast loop closure detection (online visual place recognition) via saliency re-identification IROS 2020

Final Project of the Udacity AI Programming with Python Nanodegree

This repo provides projects on deep-learning mainly using Tensorflow 2.0

Codac is a library for constraint programming over reals, trajectories and sets.

UrbanLoco: A Full Sensor Suite Dataset for Mapping and Localization in Urban Scenes

🚀 SLAM for autonomous planetary rovers with global localization

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

X Inertial-aided Visual Odometry

RTAB-Map library and standalone application

Term 1, Project 5 - Udacity Self Driving Car Nanodegree

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

LaMa - A Localization and Mapping library

ROS packages for Turtlebot3

A Modular Optimization framework for Localization and mApping (MOLA)

All Terrain Autonomous Quadruped

Useful links of different content related to AI, Computer Vision, and Robotics.

🛩️⚙️ 3D Planning, PID Control, Extended Kalman Filter for the Udacity Flying Car Nanodegree // FCND-Term1

深度学习和三维视觉相关的论文

OV²SLAM is a Fully Online and Versatile Visual SLAM for Real-Time Applications

An extended Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.

1ZLab在准备挑选合适的小车来研发计算机视觉的教程时候 , 发现习惯了Python语法的我们, 在市面上找不到合适小车, 后来我们选了ESP32作为小车的控制主板, 可以使用Python对其进行交互式编程, 极大的提升了开发效率.

Julia sample codes for Autonomy, Robotics and Self-Driving Algorithms.

Classifying and localizing x-ray images into 5 category of "Normal", "Infiltration", "Atelectasis", "Effusion", and "Pneumothorax"

Python library to visualize results from Likert scale survey questions

A PHP 5.3+ Translation/Localization System

Julia package for particle physics

ADLocalize is a simple way to manage your localization files. Supported wording sources : CSVs and Google Sheets. Localization file generation available for iOS, Android, JSON (i18next), YAML and Java properties

Otto Blockly; a fully integrated graphical programming for any type of Arduino projects, including robots, ready to install in your computer, it works offline and also online