Simulation of coordinated formation control of UAV based on leader-follower and artificial potential

Academic Study of A Multi-Agent Quadrotors (Drones) Simulator with Obstacles and Goals Using the Artificial Potential Field Approach(APF), Virtual Structure, and Particle Swarm Optimization

Research on distributed control algorithm ofUAV/UGV-UAV assists UGV to hunt ground target

Yolov5 deepsort inference，使用YOLOv5+Deepsort实现车辆行人追踪和计数，代码封装成一个Detector类，更容易嵌入到自己的项目中

BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

用於檢測模型

毕业设计的代码部分，实现了UE4和airsim环境下无人机自主导航和目标跟踪的强化学习算法。

This repository includes the implementation of the distributed leader election algorithm introduced through this research done by myself for the fulfillment of my undergraduate degree program.

Communication and database stack for autonomous swarm coordination of multiple drones

Python library used to safely control drone swarms and drone fleets with MAVLink

Class of 2022 : team « Swarm shooters » anti drone swarm system. Original github here : https://github.com/Yassine-94/Swarm-shooters

We demonstrate decentralized drone swarm control learned via large-scale multi-agent reinforcement learning.

[IEEE ICUAS 2022] Python scripts for swarming, formation control, and observer-based adversary detection for multi-UAVs (Tello Drones)

Using DDPG and ConvLSTM to control a drone to avoid obstacle in AirSim

This is an example of navigating drones in AirSim simulator by multithreading

Generates bounding boxes around objects in the scene in Airsim. Can also add noise to the bounding boxes to emulate a real object detector.

Developing python script to control an AirSim multirotor to find the optimal path in a maze.

利用Airsim做无人机编队仿真，持续更新中。

Decentralized Control Methods were applied to multiple UAV's to form a required shape and sustain it throughout the motion

Master's thesis about autonomous navigation of a drone in indoor environments carried out to obtain the degree of Master of Science in Computer Science Engineering (University of Liège, academic ye…

Biologically inspired drone navigation algorithms utilizing AirSim for drone simulation

Using Yolov5 for animal detection in Unreal AirSim

Precision Landing implmented in AirSim with python and openCV, window identification neural network in dron using tensorflow

Embry-Riddle Aeronautical University EECS Department Senior Design Project

Autonomous UAV Navigation without Collision using Visual Information in Airsim

Object Tracking Via Simulation (Airsim + Unreal Engine)

Multi-Agent Deep Recurrent Q-Learning with Bayesian epsilon-greedy on AirSim simulator

基于AirSim仿真平台的复杂环境无人机自主飞行

In this project, I was able to detect and track objects using the Coco Dataset and Yolo Algorithm in the Airsim Simulator.