Combined generation of road marking and road sign databases applied to consistency checking of pedestrian crossings

Lykele Hazelhoff; Ivo Creusen; Thomas Woudsma; Xinfeng Bao; Peter H.N. de With

doi:10.1109/MVA.2015.7153105

Combined generation of road marking and road sign databases applied to consistency checking of pedestrian crossings

Lykele Hazelhoff
, Ivo Creusen
, Thomas Woudsma
, Xinfeng Bao
, Peter H.N. de With

Architectures for Reliable Image Analysis

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

2 Citaten (Scopus)

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Combined road marking and traffic sign databases are beneficial for both road maintenance and for usage within navigation devices and autonomous driving vehicles. The combination of both markings and signs completely provides all instructions and legislation for drivers. This paper presents a conceptual system for the automated creation of such combined databases and investigates the benefit of this combination for the specific case of pedestrian crossings. Evaluations on 62 km of road have shown that individual detection of road signs and markings indicating pedestrian crossings is very accurate (≥ 95%), enabling selective safety analysis towards these specific locations. Combining both approaches enables very accurate identification of crosswalks and additionally leads to the retrieval of crossings with undetectable markings or signs, such that maintenance can be directed specifically towards these potentially dangerous crosswalks.

Originele taal-2	Engels
Titel	Proceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015
Plaats van productie	Piscataway
Uitgeverij	Institute of Electrical and Electronics Engineers
Pagina's	439-442
Aantal pagina's	4
ISBN van elektronische versie	978-4-9011-2214-6
DOI's	https://doi.org/10.1109/MVA.2015.7153105
Status	Gepubliceerd - 1 jan 2015
Evenement	14th IAPR International Conference on Machine Vision Applications (MVA 2015) - Tokyo, Japan Duur: 18 mei 2015 → 22 mei 2015 Congresnummer: 14 http://www.mva-org.jp/mva2015

Congres

Congres	14th IAPR International Conference on Machine Vision Applications (MVA 2015)
Verkorte titel	MVA 2015
Land/Regio	Japan
Stad	Tokyo
Periode	18/05/15 → 22/05/15
Internet adres	http://www.mva-org.jp/mva2015

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10.1109/MVA.2015.7153105

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Hazelhoff, L., Creusen, I., Woudsma, T., Bao, X., & de With, P. H. N. (2015). Combined generation of road marking and road sign databases applied to consistency checking of pedestrian crossings. In Proceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015 (blz. 439-442). Artikel 7153105 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/MVA.2015.7153105

@inproceedings{af2fc946329c4eb48c6124aea373cddc,

title = "Combined generation of road marking and road sign databases applied to consistency checking of pedestrian crossings",

abstract = "Combined road marking and traffic sign databases are beneficial for both road maintenance and for usage within navigation devices and autonomous driving vehicles. The combination of both markings and signs completely provides all instructions and legislation for drivers. This paper presents a conceptual system for the automated creation of such combined databases and investigates the benefit of this combination for the specific case of pedestrian crossings. Evaluations on 62 km of road have shown that individual detection of road signs and markings indicating pedestrian crossings is very accurate (≥ 95\%), enabling selective safety analysis towards these specific locations. Combining both approaches enables very accurate identification of crosswalks and additionally leads to the retrieval of crossings with undetectable markings or signs, such that maintenance can be directed specifically towards these potentially dangerous crosswalks.",

author = "Lykele Hazelhoff and Ivo Creusen and Thomas Woudsma and Xinfeng Bao and \{de With\}, \{Peter H.N.\}",

year = "2015",

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doi = "10.1109/MVA.2015.7153105",

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booktitle = "Proceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "14th IAPR International Conference on Machine Vision Applications (MVA 2015), MVA 2015 ; Conference date: 18-05-2015 Through 22-05-2015",

url = "http://www.mva-org.jp/mva2015",

}

Hazelhoff, L, Creusen, I, Woudsma, T, Bao, X & de With, PHN 2015, Combined generation of road marking and road sign databases applied to consistency checking of pedestrian crossings. in Proceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015., 7153105, Institute of Electrical and Electronics Engineers, Piscataway, blz. 439-442, 14th IAPR International Conference on Machine Vision Applications (MVA 2015), Tokyo, Japan, 18/05/15. https://doi.org/10.1109/MVA.2015.7153105

Combined generation of road marking and road sign databases applied to consistency checking of pedestrian crossings. / Hazelhoff, Lykele; Creusen, Ivo; Woudsma, Thomas et al.
Proceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015. Piscataway: Institute of Electrical and Electronics Engineers, 2015. blz. 439-442 7153105.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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AB - Combined road marking and traffic sign databases are beneficial for both road maintenance and for usage within navigation devices and autonomous driving vehicles. The combination of both markings and signs completely provides all instructions and legislation for drivers. This paper presents a conceptual system for the automated creation of such combined databases and investigates the benefit of this combination for the specific case of pedestrian crossings. Evaluations on 62 km of road have shown that individual detection of road signs and markings indicating pedestrian crossings is very accurate (≥ 95%), enabling selective safety analysis towards these specific locations. Combining both approaches enables very accurate identification of crosswalks and additionally leads to the retrieval of crossings with undetectable markings or signs, such that maintenance can be directed specifically towards these potentially dangerous crosswalks.

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Hazelhoff L, Creusen I, Woudsma T, Bao X, de With PHN. Combined generation of road marking and road sign databases applied to consistency checking of pedestrian crossings. In Proceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015. Piscataway: Institute of Electrical and Electronics Engineers. 2015. blz. 439-442. 7153105 doi: 10.1109/MVA.2015.7153105

Combined generation of road marking and road sign databases applied to consistency checking of pedestrian crossings

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