MMAUD Dataset Overview

Dataset Name

• Name: MMAUD: A Comprehensive Multi‑Modal Anti‑UAV Dataset for Detection, Classification, Tracking and Trajectory Estimation of Compact Commercially Available Drone Threats
• Link: MMAUD Dataset

Dataset Contents

• Sensor Configuration:
  • Two 3D LiDARs (Conic LiDAR and Peripheral LiDAR)
  • Two time‑synchronized cameras
  • One millimeter‑wave radar
  • Four audio array nodes

Dataset Versions

• Version 1: Primary flight altitude below 30 m
• Versions 2 and 3: Designed for realistic combat simulations, flight altitude up to 70 m

Dataset Download

• Download Links: Dataset files are hosted on OneDrive and include:
  • DJI Mavic2: 14.1 GB, 198 s, MMAUD V1 Rooftop Simple
  • DJI Mavic3: 11.1 GB, 321.1 s, MMAUD V1 Rooftop Simple
  • DJI Phantom4: 13.2 GB, 181.4 s, MMAUD V1 Rooftop Simple
  • DJI Avata: 19.7 GB, 396.3 s, MMAUD V1 Rooftop Simple
  • DJI M300: 14.4 GB, 428.7 s, MMAUD V1 Rooftop Simple

Citation

• Citation Format:

  @article{yuan2024MMAUD, title = {MMAUD: A Comprehensive Multi‑Modal Anti‑UAV Dataset for Modern Miniature Drone Threats}, author = {Yuan, Shenghai and Yang, Yizhuo and Nguyen, Thien Hoang and Nguyen, Thien‑Minh and Yang, Jianfei and Liu, Fen and Li, Jianping and Wang, Han and Xie, Lihua}, booktitle = {2024 IEEE International Conference on Robotics and Automation (ICRA)}, year = {2024}, publisher = {IEEE} }