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Asynchronous event-based clustering and tracking for intrusion monitoring in UAS

Gómez, Juan Pablo Rodríguez; Eguíluz, Augusto Gómez; Dios, Jose Ramiro Martínez-De; Ollero, Anibal;

Asynchronous event-based clustering and tracking for intrusion monitoring in UAS

Abstract

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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ACM Computing Classification System: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION

Keywords

event camera, asynchronous, intrusion monitoring, surveillance, UAS, clustering, feature tracking

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    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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visibility
download
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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Funded by
EC| GRIFFIN
Project
GRIFFIN
General compliant aerial Robotic manipulation system Integrating Fixed and Flapping wings to INcrease range and safety
  • Funder: European Commission (EC)
  • Project Code: 788247
  • Funding stream: H2020 | ERC | ERC-ADG
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