Popular GitHub Repositories for Drone Racing

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

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

Drone Racing @ NeurIPS 2019, built on Microsoft AirSim

Programmable Engine for Drone Reinforcement Learning Applications

A virtual AI-based pit crew for Sim Racing. Use the latest GPT technology to create a real life like experience when out on the track.

OpenKAI: A modern framework for unmanned vehicle and robot control

Autonomous UAV Navigation without Collision using Visual Information in Airsim

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.

Autonomous Racing Car using NVIDIA Jetson TX2 using end-to-end driving approach. Paper: https://arxiv.org/abs/1604.07316

Open-source reinforcement learning environment for autonomous racing — featured as a conference paper at ICCV 2021 and as the official challenge tracks at both SL4AD@ICML2022 and AI4AD@IJCAI2022. These are the L2R core libraries.

? ?? ? online 3D multiplayer neural networks based racing game

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.

High-speed Autonomous Drifting with Deep Reinforcement Learning

Assetto Corsa OpenAI Gym Environment

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