MMFW-UAV Dataset

Project OverviewThis project is a system research project on air-ground cooperative unmanned system, guided by Professor Fang Deng, Professor Chen Chen, Professor Maobin Lu, and Professor Hailing Fu from Beijing Institute of Technology. These research include air-to-air target identification, detection, collaborative (or non-collaborative) unmanned aerial vehicle systems, and unmanned aerial vehicle datasets, and more. Associate Professor fellow Lele Zhang and Research associate Wei Dong from Beijing Institute of Technology and Research associate Lele Xi from Hebei University of Science and Technology led Ph.D. candidates Yang Liu and Zhihao Sun to implement these projects. For more information, please visit the webpage.IntroductionThe MMFW-UAV contains a total of 147,441 fixed-wing UAVs images captured by multiple types of sensors (zoom, wide-range, and thermal imaging sensors), i.e., 49,147 pairs of "1-1-1" images, displaying the flight status of fixed-wing UAVs with different sizes, appearances, structures, and stabilized flight velocities from multiple aerial perspectives (top-down, horizontal, and bottom-up views), aiming to cover the full range of perspectives with multi-modal image data.

项目概况
本项目为北京理工大学方登教授、陈晨教授、卢茂斌教授与傅海凌教授牵头指导的空地协同无人系统研究项目。研究方向涵盖空对空目标识别、目标探测、协同（或非协同）无人机系统及无人机数据集构建等领域。北京理工大学张乐乐副研究员、董伟科研助理，联合河北科技大学奚乐乐科研助理，带领博士生刘阳与孙志浩完成了本项目的具体实施工作。更多信息可访问项目网页。

数据集简介
MMFW-UAV数据集共包含147441张固定翼无人机（fixed-wing UAV）图像，由变焦、广角及热成像等多类传感器采集而成，共计49147组"1-1-1"格式图像。该数据集从俯视、水平、仰视等多类航空视角，呈现了不同尺寸、外观、结构且处于稳定飞行速度状态下的固定翼无人机飞行状态，旨在通过多模态图像数据实现全视角覆盖。

搜集汇总

背景与挑战

背景概述

MMFW-UAV Dataset是一个专注于固定翼无人机的多模态图像数据集，包含147,441张图像，由变焦、广角和热成像等多种传感器捕获，形成49,147对“1-1-1”图像。该数据集覆盖了俯视、水平和仰视等多种视角，旨在通过多模态数据全面展示不同尺寸、外观、结构和飞行速度的无人机状态，支持空地协同无人系统的研究。