How to Accurately Determine the Position on a Known Course in Road Cycling
| dc.contributor.author | Wolf, Stefan | |
| dc.contributor.author | Dobiasch, Martin | |
| dc.contributor.author | Artiga Gonzalez, Alexander | |
| dc.contributor.author | Saupe, Dietmar | |
| dc.date.accessioned | 2018-02-06T10:17:29Z | |
| dc.date.available | 2018-02-06T10:17:29Z | |
| dc.date.issued | 2018 | eng |
| dc.description.abstract | With modern cycling computers it is possible to provide cyclists with complex feedback during rides. If the feedback is course-dependent, it is necessary to know the riders current position on the course. Different approaches to estimate the position on the course from common GPS and speed sensors were compared: the direct distance measure derived from the number of rotations of the wheel, GPS coordinates projected onto the course trajectory, and a Kalman filter incorporating speed as well as GPS measurements. To quantify the accuracy of the different methods, an experiment was conducted on a race track where a fixed point on the course was tagged during the ride. The Kalman filter approach was able to overcome certain shortcomings of the other two approaches and achieved a mean error of −0.13m and a root mean square error of 0.97m. | eng |
| dc.description.version | published | eng |
| dc.identifier.doi | 10.1007/978-3-319-67846-7_11 | eng |
| dc.identifier.uri | https://kops.uni-konstanz.de/handle/123456789/41237 | |
| dc.language.iso | eng | eng |
| dc.subject | Cycling; GPS; Kalman filter; Road cycling; Feedback | eng |
| dc.subject.ddc | 004 | eng |
| dc.title | How to Accurately Determine the Position on a Known Course in Road Cycling | eng |
| dc.type | INPROCEEDINGS | eng |
| dspace.entity.type | Publication | |
| kops.citation.bibtex | @inproceedings{Wolf2018Accur-41237,
year={2018},
doi={10.1007/978-3-319-67846-7_11},
title={How to Accurately Determine the Position on a Known Course in Road Cycling},
number={663},
isbn={978-3-319-67845-0},
issn={2194-5357},
publisher={Springer},
address={Cham},
series={Advances in Intelligent Systems and Computing},
booktitle={Proceedings of the 11th International Symposium on Computer Science in Sport (IACSS 2017)},
pages={103--109},
editor={Lames, Martin and Saupe, Dietmar and Wiemeyer, Josef},
author={Wolf, Stefan and Dobiasch, Martin and Artiga Gonzalez, Alexander and Saupe, Dietmar}
} | |
| kops.citation.iso690 | WOLF, Stefan, Martin DOBIASCH, Alexander ARTIGA GONZALEZ, Dietmar SAUPE, 2018. How to Accurately Determine the Position on a Known Course in Road Cycling. 11th International Symposium of Computer Science in Sports (IACSS 2017). Konstanz, 6. Sept. 2017 - 9. Sept. 2017. In: LAMES, Martin, ed., Dietmar SAUPE, ed., Josef WIEMEYER, ed.. Proceedings of the 11th International Symposium on Computer Science in Sport (IACSS 2017). Cham: Springer, 2018, pp. 103-109. Advances in Intelligent Systems and Computing. 663. ISSN 2194-5357. eISSN 2194-5365. ISBN 978-3-319-67845-0. Available under: doi: 10.1007/978-3-319-67846-7_11 | deu |
| kops.citation.iso690 | WOLF, Stefan, Martin DOBIASCH, Alexander ARTIGA GONZALEZ, Dietmar SAUPE, 2018. How to Accurately Determine the Position on a Known Course in Road Cycling. 11th International Symposium of Computer Science in Sports (IACSS 2017). Konstanz, Sep 6, 2017 - Sep 9, 2017. In: LAMES, Martin, ed., Dietmar SAUPE, ed., Josef WIEMEYER, ed.. Proceedings of the 11th International Symposium on Computer Science in Sport (IACSS 2017). Cham: Springer, 2018, pp. 103-109. Advances in Intelligent Systems and Computing. 663. ISSN 2194-5357. eISSN 2194-5365. ISBN 978-3-319-67845-0. Available under: doi: 10.1007/978-3-319-67846-7_11 | eng |
| kops.citation.rdf | <rdf:RDF
xmlns:dcterms="http://purl.org/dc/terms/"
xmlns:dc="http://purl.org/dc/elements/1.1/"
xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
xmlns:bibo="http://purl.org/ontology/bibo/"
xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
xmlns:foaf="http://xmlns.com/foaf/0.1/"
xmlns:void="http://rdfs.org/ns/void#"
xmlns:xsd="http://www.w3.org/2001/XMLSchema#" >
<rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/41237">
<dc:creator>Wolf, Stefan</dc:creator>
<dcterms:issued>2018</dcterms:issued>
<dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
<dc:contributor>Wolf, Stefan</dc:contributor>
<bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/41237"/>
<foaf:homepage rdf:resource="http://localhost:8080/"/>
<void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
<dcterms:title>How to Accurately Determine the Position on a Known Course in Road Cycling</dcterms:title>
<dc:creator>Artiga Gonzalez, Alexander</dc:creator>
<dc:contributor>Artiga Gonzalez, Alexander</dc:contributor>
<dcterms:abstract xml:lang="eng">With modern cycling computers it is possible to provide cyclists with complex feedback during rides. If the feedback is course-dependent, it is necessary to know the riders current position on the course. Different approaches to estimate the position on the course from common GPS and speed sensors were compared: the direct distance measure derived from the number of rotations of the wheel, GPS coordinates projected onto the course trajectory, and a Kalman filter incorporating speed as well as GPS measurements. To quantify the accuracy of the different methods, an experiment was conducted on a race track where a fixed point on the course was tagged during the ride. The Kalman filter approach was able to overcome certain shortcomings of the other two approaches and achieved a mean error of −0.13m and a root mean square error of 0.97m.</dcterms:abstract>
<dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2018-02-06T10:17:29Z</dc:date>
<dc:creator>Dobiasch, Martin</dc:creator>
<dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
<dc:contributor>Saupe, Dietmar</dc:contributor>
<dc:language>eng</dc:language>
<dc:creator>Saupe, Dietmar</dc:creator>
<dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2018-02-06T10:17:29Z</dcterms:available>
<dc:contributor>Dobiasch, Martin</dc:contributor>
</rdf:Description>
</rdf:RDF> | |
| kops.conferencefield | 11th International Symposium of Computer Science in Sports (IACSS 2017), 6. Sept. 2017 - 9. Sept. 2017, Konstanz | deu |
| kops.date.conferenceEnd | 2017-09-09 | eng |
| kops.date.conferenceStart | 2017-09-06 | eng |
| kops.flag.knbibliography | true | |
| kops.location.conference | Konstanz | eng |
| kops.sourcefield | LAMES, Martin, ed., Dietmar SAUPE, ed., Josef WIEMEYER, ed.. <i>Proceedings of the 11th International Symposium on Computer Science in Sport (IACSS 2017)</i>. Cham: Springer, 2018, pp. 103-109. Advances in Intelligent Systems and Computing. 663. ISSN 2194-5357. eISSN 2194-5365. ISBN 978-3-319-67845-0. Available under: doi: 10.1007/978-3-319-67846-7_11 | deu |
| kops.sourcefield.plain | LAMES, Martin, ed., Dietmar SAUPE, ed., Josef WIEMEYER, ed.. Proceedings of the 11th International Symposium on Computer Science in Sport (IACSS 2017). Cham: Springer, 2018, pp. 103-109. Advances in Intelligent Systems and Computing. 663. ISSN 2194-5357. eISSN 2194-5365. ISBN 978-3-319-67845-0. Available under: doi: 10.1007/978-3-319-67846-7_11 | deu |
| kops.sourcefield.plain | LAMES, Martin, ed., Dietmar SAUPE, ed., Josef WIEMEYER, ed.. Proceedings of the 11th International Symposium on Computer Science in Sport (IACSS 2017). Cham: Springer, 2018, pp. 103-109. Advances in Intelligent Systems and Computing. 663. ISSN 2194-5357. eISSN 2194-5365. ISBN 978-3-319-67845-0. Available under: doi: 10.1007/978-3-319-67846-7_11 | eng |
| kops.title.conference | 11th International Symposium of Computer Science in Sports (IACSS 2017) | eng |
| relation.isAuthorOfPublication | fd279a46-ee98-4916-91e9-c09718d6ff04 | |
| relation.isAuthorOfPublication | 062421e6-1208-40b8-9ee5-9de368a95d43 | |
| relation.isAuthorOfPublication | fffb576d-6ec6-4221-8401-77f1d117a9b9 | |
| relation.isAuthorOfPublication.latestForDiscovery | fd279a46-ee98-4916-91e9-c09718d6ff04 | |
| source.bibliographicInfo.fromPage | 103 | eng |
| source.bibliographicInfo.seriesNumber | 663 | eng |
| source.bibliographicInfo.toPage | 109 | eng |
| source.contributor.editor | Lames, Martin | |
| source.contributor.editor | Saupe, Dietmar | |
| source.contributor.editor | Wiemeyer, Josef | |
| source.identifier.eissn | 2194-5365 | eng |
| source.identifier.isbn | 978-3-319-67845-0 | eng |
| source.identifier.issn | 2194-5357 | eng |
| source.publisher | Springer | eng |
| source.publisher.location | Cham | eng |
| source.relation.ispartofseries | Advances in Intelligent Systems and Computing | eng |
| source.title | Proceedings of the 11th International Symposium on Computer Science in Sport (IACSS 2017) | eng |