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Real-World Marine Radar Datasets for Evaluating Target Tracking Methods

As autonomous navigation is being implemented in several areas including the maritime domain, the need for robust tracking is becoming more important for traffic situation awareness, assessment and monitoring. We present an online repository comprising three designated marine radar datasets from rea...

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Detalles Bibliográficos
Autores principales: Fowdur, Jaya Shradha, Baum, Marcus, Heymann, Frank
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309669/
https://www.ncbi.nlm.nih.gov/pubmed/34300381
http://dx.doi.org/10.3390/s21144641
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author Fowdur, Jaya Shradha
Baum, Marcus
Heymann, Frank
author_facet Fowdur, Jaya Shradha
Baum, Marcus
Heymann, Frank
author_sort Fowdur, Jaya Shradha
collection PubMed
description As autonomous navigation is being implemented in several areas including the maritime domain, the need for robust tracking is becoming more important for traffic situation awareness, assessment and monitoring. We present an online repository comprising three designated marine radar datasets from real-world measurement campaigns to be employed for target detection and tracking research purposes. The datasets have their respective reference positions on the basis of the Automatic Identification System (AIS). Together with the methods used for target detection and clustering, a novel baseline algorithm for an extended centroid-based multiple target tracking is introduced and explained. We compare the performance of our algorithm to its standard version on the datasets using the AIS references. The results obtained and some initial dataset specific analysis are presented. The datasets, under the German Aerospace Centre (DLR)’s terms and agreements, can be procured from the company website’s URL provided in the article.
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spelling pubmed-83096692021-07-25 Real-World Marine Radar Datasets for Evaluating Target Tracking Methods Fowdur, Jaya Shradha Baum, Marcus Heymann, Frank Sensors (Basel) Article As autonomous navigation is being implemented in several areas including the maritime domain, the need for robust tracking is becoming more important for traffic situation awareness, assessment and monitoring. We present an online repository comprising three designated marine radar datasets from real-world measurement campaigns to be employed for target detection and tracking research purposes. The datasets have their respective reference positions on the basis of the Automatic Identification System (AIS). Together with the methods used for target detection and clustering, a novel baseline algorithm for an extended centroid-based multiple target tracking is introduced and explained. We compare the performance of our algorithm to its standard version on the datasets using the AIS references. The results obtained and some initial dataset specific analysis are presented. The datasets, under the German Aerospace Centre (DLR)’s terms and agreements, can be procured from the company website’s URL provided in the article. MDPI 2021-07-06 /pmc/articles/PMC8309669/ /pubmed/34300381 http://dx.doi.org/10.3390/s21144641 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Fowdur, Jaya Shradha
Baum, Marcus
Heymann, Frank
Real-World Marine Radar Datasets for Evaluating Target Tracking Methods
title Real-World Marine Radar Datasets for Evaluating Target Tracking Methods
title_full Real-World Marine Radar Datasets for Evaluating Target Tracking Methods
title_fullStr Real-World Marine Radar Datasets for Evaluating Target Tracking Methods
title_full_unstemmed Real-World Marine Radar Datasets for Evaluating Target Tracking Methods
title_short Real-World Marine Radar Datasets for Evaluating Target Tracking Methods
title_sort real-world marine radar datasets for evaluating target tracking methods
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309669/
https://www.ncbi.nlm.nih.gov/pubmed/34300381
http://dx.doi.org/10.3390/s21144641
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