WTA/TLA: A UAV-captured dataset for semantic segmentation of energy infrastructure
Author(s)
Type
Conference Paper
Abstract
Automated inspection of energy infrastructure with Unmanned Aerial Vehicles (UAVs) is becoming increasingly important, exhibiting significant advantages over manual inspection, including improved scalability, cost/time effectiveness, and risks reduction. Although recent technological advancements enabled the collection of an abundance of vision data from UAVs’ sensors, significant efforts are still required from experts to interpret manually the collected data and assess the condition of energy infrastructure. Thus, semantic understanding of vision data collected from UAVs during inspection is a critical prerequisite for performing autonomous robotic tasks. However, the lack of labeled data introduces challenges and limitations in evaluating the performance of semantic prediction algorithms. To this end, we release two novel semantic datasets (WTA and TLA) of aerial images captured from power transmission networks and wind turbine farms, collected during real inspection scenarios with UAVs. We also propose modifications to existing state-of-the-art semantic segmentation CNNs to achieve improved trade-off between accuracy and computational complexity. Qualitative and quantitative experiments demonstrate both the challenging properties of the provided dataset and the effectiveness of the proposed networks in this domain.The dataset is available at: https://github.com/gzamps/wta_tla_dataset.
Date Issued
2022-07-26
Date Acceptance
2022-07-01
Citation
2022 International Conference on Unmanned Aircraft Systems (ICUAS), 2022, pp.552-561
ISSN
2373-6720
Publisher
IEEE
Start Page
552
End Page
561
Journal / Book Title
2022 International Conference on Unmanned Aircraft Systems (ICUAS)
Copyright Statement
Copyright © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000854030400065&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
Source
International Conference on Unmanned Aircraft Systems (ICUAS)
Subjects
Engineering
Engineering, Aerospace
Engineering, Electrical & Electronic
Science & Technology
Technology
Publication Status
Published
Start Date
2022-06-21
Finish Date
2022-06-24
Coverage Spatial
Dubrovnik, Croatia
Date Publish Online
2022-07-26