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Robust and Reliable Decision-making for Unmanned Aerial Vehicles

Konen, Kai (2021) Robust and Reliable Decision-making for Unmanned Aerial Vehicles. In: DLR WAW Maschinelles Lernen 7. DLR WAW Maschinelles Lernen 7, 11.10.2021 - 13.10.2021, Köln, Deutschland.

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Machine learning-based models for object detection rely on large datasets of labeled images, such as COCO or ImageNet. When models trained on these datasets are applied to aerial images from Unmanned Aerial Vehicles (UAVs), the problem arises that the conditions under which the training images where created (for example, light, altitude, or angle) may be different in the environment where the UAVs are put into practice, leading to failed detections. This problem becomes even more pressing when it comes to safety critical applications where failures can have huge negative impacts and also constitutes an obstacle for certification of cognitive components in UAVs. This talk will show that using, both, artificial andreal images for training has a positive effect on the performance of object detection algorithms. Since simulated images are easy to create and object labels are inherently given, the presented approach shows a promising direction for scenarios where adequate datasets are difficult to obtain, as well as for targeted exploration of weak points of object detection algorithms.

Item URL in elib:https://elib.dlr.de/147739/
Document Type:Conference or Workshop Item (Speech)
Title:Robust and Reliable Decision-making for Unmanned Aerial Vehicles
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Konen, KaiUNSPECIFIEDhttps://orcid.org/0000-0001-7957-4477
Date:11 October 2021
Journal or Publication Title:DLR WAW Maschinelles Lernen 7
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:UAV, Object Detection, Yolov4
Event Title:DLR WAW Maschinelles Lernen 7
Event Location:Köln, Deutschland
Event Type:Workshop
Event Dates:11.10.2021 - 13.10.2021
Organizer:Deutsches Zentrum für Luft- und Raumfahrt
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: Köln-Porz
Institutes and Institutions:Institute for Software Technology > Intelligent and Distributed Systems
Institute for Software Technology
Deposited By: Konen, Kai
Deposited On:20 Dec 2021 08:11
Last Modified:28 Sep 2022 13:54

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