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Generating Synthetic Data for Deep Learning-Based Drone Detection

Dieter, Tamara and Weinmann, Andreas and Brucherseifer, Eva (2023) Generating Synthetic Data for Deep Learning-Based Drone Detection. In: AIP Conference Proceedings, 1 (2939). American Institute of Physics Conference Proceedings. 48th International Conference “Applications of Mathematics in Engineering and Economics” (AMEE'22), 2022-06-07 - 2022-06-13, Sozopol, Bulgaria. doi: 10.1063/5.0180345. ISSN 0094-243X.

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Official URL: https://pubs.aip.org/aip/acp/article/2939/1/030007/2929077/Generating-synthetic-data-for-deep-learning-based


Drone detection is an important yet challenging task in the context of object detection. The development of robust and reliable drone detection systems requires large amounts of labeled data, especially when using deep learning (DL) models. Unfortunately, acquiring real data is expensive, time-consuming, and often limited by external factors. This makes synthetic data a promising approach to addressing data deficiencies. In this paper, we present a data generation pipeline based on Unreal Engine 4.25 and Microsoft AirSim, designed to create synthetic labeled data for drone detection using three-dimensional environments. As part of an ablation study, we investigate the potential use of synthetic data in drone detection by analyzing different training strategies, influencing factors, and data generation parameters, specifically related to the visual appearance of a drone.

Item URL in elib:https://elib.dlr.de/193173/
Document Type:Conference or Workshop Item (Speech)
Title:Generating Synthetic Data for Deep Learning-Based Drone Detection
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Dieter, TamaraUNSPECIFIEDhttps://orcid.org/0000-0001-9191-0170UNSPECIFIED
Brucherseifer, EvaUNSPECIFIEDhttps://orcid.org/0000-0001-9810-7671UNSPECIFIED
Journal or Publication Title:AIP Conference Proceedings
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Publisher:American Institute of Physics Conference Proceedings
Keywords:Drone Detection, Deep Learning, Synthetic Data
Event Title:48th International Conference “Applications of Mathematics in Engineering and Economics” (AMEE'22)
Event Location:Sozopol, Bulgaria
Event Type:international Conference
Event Start Date:7 June 2022
Event End Date:13 June 2022
Organizer:Technical University of Sofia
HGF - Research field:other
HGF - Program:other
HGF - Program Themes:other
DLR - Research area:no assignment
DLR - Program:no assignment
DLR - Research theme (Project):no assignment
Location: Rhein-Sieg-Kreis
Institutes and Institutions:Institute for the Protection of Terrestrial Infrastructures > Digital Twins of Infrastructures
Institute for the Protection of Terrestrial Infrastructures
Deposited By: Lenhard, Tamara
Deposited On:06 Mar 2023 09:37
Last Modified:24 Apr 2024 20:54

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