Popular GitHub Repositories for Electric Drone

open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.

OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones supports advanced robotics workloads such as person following and real-time autonomous navigation.

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models

Drone Racing @ NeurIPS 2019, built on Microsoft AirSim

Gym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors

Programmable Engine for Drone Reinforcement Learning Applications

User can set up destination for any agent to navigate on Google Map and learn the best route for the agent based on its current condition and the traffic. Our result is 10% less energy consumption than the route provided by Google map

Autonomous UAV Navigation without Collision using Visual Information in Airsim

OpenKAI: A modern framework for unmanned vehicle and robot control

A ros demo for people detection and tracking on DJI M100 drone

Aerial Object Detection using a Drone with PX4 Autopilot and ROS 2. PX4 SITL and Gazebo Garden used for Simulation. YOLOv8 used for Object Detection.

Dataflow system for building self-driving car and robotics applications.

This is official repository of our paper "RFUAV: A Benchmark Dataset for Unmanned Aerial Vehicle Detection and Identification". Codes include a two stage model to achieve drone detection and classification using some FFT/STFT analytical method. The Raw data will be free to use after our paper is accept. Star us!!!!, if you think this is useful♥

OpenMAS is an open source multi-agent simulator based in Matlab for the simulation of decentralized intelligent systems defined by arbitrary behaviours and dynamics.

Chargym simulates the operation of an electric vehicle charging station (EVCS) considering random EV arrivals and departures within a day. This is a generalised environment for charging/discharging EVs under various disturbances (weather conditions, pricing models, stochastic arrival-departure EV times and stochastic Battery State of Charge (BOC) at arrival). This is an open source OpenAI Gym environment for the implementation of Reinforcement Learning (RL), Rule-based approaches (RB) and Intelligent Control (IC).

This is the repository with the baseline code for the "Small Object Detection Challenge for Spotting Birds" at MVA2023.

A drone control system based on deep reinforcement learning with Tensorflow and ROS

EVDodgeNet: Deep Dynamic Obstacle Dodging with event cameras

Isaac Drone Racer is a reinforcement learning framework for high speed autonomous drone racing, built on top of IsaacLab