Asynchronous event-based clustering and tracking for intrusion monitoring in UAS
DOI10.5281/zenodo.3929689Zenodo3929689MaRDI QIDQ6699326
Dataset published at Zenodo repository.
Author name not available (Why is that?)
Publication date: 3 July 2020
Copyright license: No records found.
This dataset describes a collection of rosbag files for event-based intruder monitoring using UAS. A DAVIS346 camera was mounted over a DJI Flamewheel F550 Drone, and an onboard computer recorded the sensor information from the event camera. Each dataset includes events, frames, and IMU measurements. The monitoring scenes were recorded outdoors at the School of Engineering of the University of Seville. In each dataset, an intruder moves and hides from the field of view of the camera simulating a scape-intrusion situation. A total of four monitoring setting were recorded: Daylight monitoring:A daylight scene for intruder monitoring. An intruder runs and hides behind the objects of the scene to evade the camera field of view. Night light monitoring:A monitoring scene during the night without the presence of any artificial light. The low light condition increases the difficulty of monitoring task due to the increment of noisy events. Multi-target:An experiment with a suspect and a chaser drone moving in the monitoring area. The drone follows the suspect by simulating a pursuit operation. Monitoring under illumination changes:A night scene where the lighting conditions changes by the movement of artificial lights in the scene.
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