AI-supported DRONE Swarms Control Room – AI/EDGEIoT-based inspection and monitoring system for Natural Environment
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Updated
Jun 17, 2024 - Python
AI-supported DRONE Swarms Control Room – AI/EDGEIoT-based inspection and monitoring system for Natural Environment
这个仓库主要通过使用图像API将AirSim与YOLOv5连接,实现实时检测。 This repository primarily implements real-time detection by connecting AirSim with YOLOv5 using the image API.
鸿钧:一个基于虚幻引擎和 AirSim 的仿真系统,让用户以简单轻松的配置方式搭建定制化的无人机作战环境。 本项目是鸿钧的 python 控制器,其通过 Socket 协议与由基于虚幻引擎和 AirSim 的仿真系统——鸿钧建立通讯,并控制其中仿真的无人机,进行飞行和战斗任务。用户可以使用 Python 语言编写无人机的飞行任务程序,完成无人机的编队飞行、攻击战斗、集群对抗等任务。 本团队在 AirSim 的基础上拓展出了攻击、战斗系统,可以对无人机的作战环境进行模拟,本项目可作为集群智能的训练平台,适用于无人机集群对抗、轰炸敌方目标单位等任务的人工智能训练。 该项目已被清华大学猛狮无人驾驶实验室和南京航空航天大学无人机实验室的研究生团队采用,并于人工智能仿真训练,并发表相关科研论文
The project presents a drone obstacle avoidance system using Microsoft AirSim and the DDPG algorithm, training drones with LIDAR and depth sensors for improved real-time navigation. It compares the implementation of DDPG algorithm with different sensors and their combination.
Controlling Vehicles with ROS1_bridge and ROS2 on Ubuntu 20.04 - AirSim Simulation Environment
Deep Recurrent Q-Network with different exploration strategies for self-driving cars (using AirSim)
Autonomous drone system utilizing image analysis and dynamic movement adjustments for smoke plume tracking and particle sampling : GAIA-drone-control Project
Using DDPG and ConvLSTM to control a drone to avoid obstacle in AirSim
This code is the result of the collaboration of RL Turkey team.
Community for applying LLMs to robotics and a robot simulator with ChatGPT integration
It is intended to be trained using Reinforcement Learning algorithms that aim to ensure drone stabilization in realistic physical conditions, using the AirSim plug-in on the Unreal Engine platform.
This project develops code for autonomous drone navigation in urban areas. Using trajectory planning, the drone maintains height while navigating from start to goal. It detects obstacles with LIDAR and evades them to reach the goal, entering hovering mode upon arrival.
A Decentralized, Fully Autonomous Drone Delivery System for Reliable, Efficient Transport of Goods
Python implementation of Bug2 algorithm to navigate a quadcopter/multirotor in the AirSim simulator.
Visuomotor policies from event-based cameras through representation learning and reinforcement learning. Accompanies our paper: https://arxiv.org/abs/2103.00806
🔥 Synthetic and real-world 2d/3d dataset for semantic and instance segmentation (BMVC 2022 Oral)
Simulator + benchmark suite for Micro Aerial Vehicle design.
VR4R Assignment: Project related the Virtual Reality applied to drones for a specific application
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