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Vision-based detection of non-cooperative UAVs using frame differencing and temporal filter

Briese, Christoph and Seel, Andreas and Andert, Franz (2018) Vision-based detection of non-cooperative UAVs using frame differencing and temporal filter. The 2018 International Conference on Unmanned Aircraft Systems, 12.-15. Juni 2018, Dallas, TX, USA.

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Abstract

In this paper, we introduce a fast and lightweight method based on several combined filters to detect and track an object in images recorded by a moving camera. Assuming we know nothing about the intruders shape, color or other geometric appearance, we focus with our work on Change detection in the image, caused by movement of the object against the background. The method is evaluated with Image data from experimental flights with two unmanned aircraft performing different flight maneuvers. The correctness of the intruder detection is evaluated by comparison with hand labeled ground truth from different sequences of the test flight. Additionally, we evaluate the performance of our implementation on architectures with low computational power with regard to a practical onboard solution for small unmanned aerial vehicels (UAV).

Item URL in elib:https://elib.dlr.de/120619/
Document Type:Conference or Workshop Item (Speech)
Title:Vision-based detection of non-cooperative UAVs using frame differencing and temporal filter
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Briese, ChristophChristoph.Briese (at) Dlr.deUNSPECIFIED
Seel, AndreasInstitut für FlugsystemtechnikUNSPECIFIED
Andert, Franzfranz.andert (at) dlr.deUNSPECIFIED
Date:12 June 2018
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Unmanned Aircraft, Sense and Avoid, Optical Flow, Moving object detection
Event Title:The 2018 International Conference on Unmanned Aircraft Systems
Event Location:Dallas, TX, USA
Event Type:international Conference
Event Dates:12.-15. Juni 2018
Organizer:IEEE/ICUAS Association
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:other
DLR - Research area:Aeronautics
DLR - Program:L - no assignment
DLR - Research theme (Project):L - no assignment
Location: Berlin-Adlershof , Braunschweig
Institutes and Institutions:Institute of Flight Systems > Unmanned Aircraft
Institute of Transportation Systems > Data Management and Knowledge Discovery
Deposited By: Briese, Christoph
Deposited On:26 Jun 2018 14:09
Last Modified:31 Jul 2019 20:18

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