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Deep Learning with Semi-Synthetic Training Images for Detection of Non-Cooperative UAVs

Briese, Christoph and Günther, Lukas (2019) Deep Learning with Semi-Synthetic Training Images for Detection of Non-Cooperative UAVs. The 2019 International Conference on Unmanned Aircraft Systems, 11. - 14. Juni 2019, Atlanta, GA, USA.

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Abstract

This paper presents a method to generate a dataset for training a deep convolutional network to detect a non cooperative unmanned aerial vehicle in video data. Deep convolutional network have shown a great potential for tasks like object detection and have been continuously improved in the last years. Still, the amount of training data is large and their generation can be complex and time consuming, especially if the appearance of the detected object is not clearly specified. The concept presented here is to train a deep convolutional neural network just with a few two dimensional images of unmanned aerial vehicle to simplify the process of generating training data. Performance of the trained network is evaluated with data from real experimental flights and compared with hand-labeled ground truth data to validate the correctness. To cover situations when the classifier fails at the detection, the output is integrated in a image processing pipeline for object tracking in order to establish a continuous tracking.

Item URL in elib:https://elib.dlr.de/128731/
Document Type:Conference or Workshop Item (Speech)
Title:Deep Learning with Semi-Synthetic Training Images for Detection of Non-Cooperative UAVs
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Briese, ChristophChristoph.Briese (at) Dlr.dehttps://orcid.org/0000-0003-4398-3038
Günther, LukasInstitut für FlugsystemtechnikUNSPECIFIED
Date:17 June 2019
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, Machine Learning, Deep Convolutional Network
Event Title:The 2019 International Conference on Unmanned Aircraft Systems
Event Location:Atlanta, GA, USA
Event Type:international Conference
Event Dates:11. - 14. Juni 2019
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: Braunschweig
Institutes and Institutions:Institute of Flight Systems
Deposited By: Briese, Christoph
Deposited On:10 Jan 2020 19:04
Last Modified:10 Jan 2020 19:04

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