Cargando…
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...
Autores principales: | , , |
---|---|
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 |
_version_ | 1783728576274628608 |
---|---|
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. |
format | Online Article Text |
id | pubmed-8309669 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT fowdurjayashradha realworldmarineradardatasetsforevaluatingtargettrackingmethods AT baummarcus realworldmarineradardatasetsforevaluatingtargettrackingmethods AT heymannfrank realworldmarineradardatasetsforevaluatingtargettrackingmethods |