Popular GitHub Repositories for Fpv Drones

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

Perception and AI components for autonomous mobile robotics.

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

A social distancing analyzer AI tool to regulate social distancing protocol using video surveillance of CCTV cameras and drones. Social Distancing Analyser to prevent COVID19

Drone Racing @ NeurIPS 2019, built on Microsoft AirSim

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, started by Microsoft

UAV Flight Simulator for Reinforcement Learning Research

https://towardsdatascience.com/tutorial-build-an-object-detection-system-using-yolo-9a930513643a

An autonomous deep learning indoor delivery robot made with Jetson

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

Curated Learning Path for Robotics Software Engineer . Theory , Programming and Research

The Drone Swarm Search project provides an environment for SAR missions built on PettingZoo, where agents, represented by drones, are tasked with locating targets identified as shipwrecked individuals.

Long-Term Planning with Deep Reinforcement Learning on Autonomous Drones

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

Training of Drone Swarms using StableBaselines3, PettingZoo, AirSim and UE4

A 3D environment visual simulation for UAVS. Such visual simulation is particularly useful for machine learning and computer vision techniques.

Control drone with ppo in gym-pybullet-drones

Using deep reinforcement learning to train drones to fly autonomously.

Playing around drones with Android's Speech-to-text & Text-to-Speech; Setting up a Wake-up-word other than OK Google, and trying to match converted text to a given Ontology

Live Dense Multi Modal 3D Mapping — A robotic and autonomous system designed for real time 3D reconstruction using a fusion of multiple depth and camera sensors simultaneously at real time speed