Yuan-Shenghai/MMAUD
MMAUD A Comprehensive Multi-Modal Anti-UAV Dataset for Modern Miniature Drone Threats Camera · LiDAR · mmWave radar · Audio · Leica ground truth MMAUD brings complementary sensing modalities together for drone detection, classification, tracking and trajectory estimation. This repository provides the recordings, extracted data, calibration resources and practical guides in one public download location. 📄 Paper · PDF · 🌐 Project · 💻 GitHub · 📦 Browse data… See the full description on the dataset page: https://huggingface.co/datasets/Yuan-Shenghai/MMAUD.
| Author / organization | Yuan-Shenghai |
|---|---|
| License (as declared) | cc-by-nc-sa-4.0 |
| Downloads | 3.3K (as reported by Hugging Face) |
| Likes | 1 |
| Created | 23 October 2026 |
| Last updated at source | 25 October 2026 |
Popularity, last 4 days
3,259 now (+3,259 since 2026-10-23). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 24 Oct 2026 Description: MMAUD Multimodal UAV recordings, ground truth, extracted images, point clouds and audio. Example observations from the original MMAUD project: camera images, LiDAR and radar point clouds, and audio. Original figure. MMAUD V1 is the official → MMAUD A Comprehensive Multi-Modal Anti-UAV Dataset for Modern Miniature Drone Threats Camera · LiDAR · mmWave radar · Audio · Leica ground truth MMAUD brings complementary sensing modalities together for drone detection, classification, tra
- 24 Oct 2026 Topics added drone, uav
- 24 Oct 2026 Description: MMAUD Multimodal UAV recordings, ground truth, extracted images, point clouds and audio. MMAUD V1 is the official dataset contribution of the ICRA 2024 paper. Its scenarios are relatively easier, with typical localization errors around 0.3– → MMAUD Multimodal UAV recordings, ground truth, extracted images, point clouds and audio. Example observations from the original MMAUD project: camera images, LiDAR and radar point clouds, and audio. Original figure. MMAUD V1 is the official
- 23 Oct 2026 Description: MMAUD Multimodal UAV recordings, ground truth, extracted images, point clouds and audio. V1 is the ICRA 2024 MMAUD release; V2 and V3 were collected later for the CVPR workshop challenge. Publication in progress: sensor bags and supplementa → MMAUD Multimodal UAV recordings, ground truth, extracted images, point clouds and audio. MMAUD V1 is the official dataset contribution of the ICRA 2024 paper. Its scenarios are relatively easier, with typical localization errors around 0.3–
- 23 Oct 2026 Description: MMAUD ROS1 recordings and ground-truth data from MMAUD, published at ICRA 2024. Upload in progress. Files appear as each sequence finishes uploading and passes its checksum check. Project, sensor documentation, and original downloads Paper → MMAUD Multimodal UAV recordings, ground truth, extracted images, point clouds and audio. V1 is the ICRA 2024 MMAUD release; V2 and V3 were collected later for the CVPR workshop challenge. Publication in progress: sensor bags and supplementa
- 23 Oct 2026 License: none → cc-by-nc-sa-4.0
- 23 Oct 2026 Description: none → MMAUD ROS1 recordings and ground-truth data from MMAUD, published at ICRA 2024. Upload in progress. Files appear as each sequence finishes uploading and passes its checksum check. Project, sensor documentation, and original downloads Paper
- 23 Oct 2026 Topics added robotics, multimodal, rosbag, lidar, radar, audio
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 26 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.