AerointentBenchmark/AeroIntent-landscape

AeroIntent: Landscape Scene

This repository is one scene of AeroIntent, a synchronized multimodal benchmark for UAV intent recognition.

Contents

• 15 UAV configurations from three airframe families and five payload configurations
• 22 trajectory programs grouped into Transit, Reconnaissance, Probing, Strike, and Escape
• Front view only
• RGB, infrared, depth, Echo radar, IMU, GPS, bounding boxes, timestamps, and metadata
• 330 synchronized sequences in this scene

The data are stored as one ar.zst shard per UAV configuration. For reliable public transfer, each shard is split into ordered 256-MiB parts. Reconstruct and verify a shard, then extract all shards into the same destination directory.

ash python reconstruct_shard.py data/Drone_no_payload tar --use-compress-program=unzstd -xf Drone_no_payload.tar.zst

Each UAV directory contains a manifest.json with the original archive checksum and ordered part checksums. SHA256SUMS.txt lists all uploaded parts. Collection logs, batch logs, completion markers, and non-front views are intentionally excluded.

Dataset Structure

ext <UAV configuration>/<intent>/<trajectory>/view_front/ rgb/ ir/ depth/ depth_preview/ echo/ echo_groundtruth/ imu/ gps/ labels_all.txt timestamps.csv meta.json rgb_video.mp4 ir_video.mp4 depth_video.mp4

Citation and License

Citation and license information will be finalized with the archival release.