Paris-lille-3D: A point cloud dataset for urban scene segmentation and classification

Xavier Roynard; Jean Emmanuel Deschaud; Francois Goulette

doi:10.1109/CVPRW.2018.00272

Paris-lille-3D: A point cloud dataset for urban scene segmentation and classification

Xavier Roynard
, Jean Emmanuel Deschaud
, Francois Goulette

Mines ParisTech

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

Résumé

This article presents a dataset called Paris-Lille-3D. This dataset is composed of several point clouds of outdoor scenes in Paris and Lille, France, with a total of more than 140 million hand labeled and classified points with more than 50 classes (e.g., the ground, cars and benches). This dataset is large enough and of high enough quality to further research on techniques regarding the automatic classification of urban point clouds. The fields to which that research may be applied are vast, as it provides the ability to increase productivity in regards to the management of urban infrastructures. Moreover, this type of data has the potential to be crucial in the field of autonomous vehicles.

langue originale	Anglais
titre	Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2018
Editeur	IEEE Computer Society
Pages	2108-2111
Nombre de pages	4
ISBN (Electronique)	9781538661000
Les DOIs	https://doi.org/10.1109/CVPRW.2018.00272
état	Publié - 13 déc. 2018
Modification externe	Oui
Evénement	31st Meeting of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2018 - Salt Lake City, États-Unis Durée: 18 juin 2018 → 22 juin 2018

Série de publications

Nom	IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Volume	2018-June
ISSN (imprimé)	2160-7508
ISSN (Electronique)	2160-7516

Une conférence

Une conférence	31st Meeting of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2018
Pays/Territoire	États-Unis
La ville	Salt Lake City
période	18/06/18 → 22/06/18

Accès au document

10.1109/CVPRW.2018.00272

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Lien vers la publication dans Scopus

Contient cette citation

Roynard, X., Deschaud, J. E., & Goulette, F. (2018). Paris-lille-3D: A point cloud dataset for urban scene segmentation and classification. Dans Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2018 (p. 2108-2111). Article 8575440 (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; Vol 2018-June). IEEE Computer Society. https://doi.org/10.1109/CVPRW.2018.00272

Roynard, Xavier ; Deschaud, Jean Emmanuel ; Goulette, Francois. / Paris-lille-3D : A point cloud dataset for urban scene segmentation and classification. Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2018. IEEE Computer Society, 2018. p. 2108-2111 (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).

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title = "Paris-lille-3D: A point cloud dataset for urban scene segmentation and classification",

abstract = "This article presents a dataset called Paris-Lille-3D. This dataset is composed of several point clouds of outdoor scenes in Paris and Lille, France, with a total of more than 140 million hand labeled and classified points with more than 50 classes (e.g., the ground, cars and benches). This dataset is large enough and of high enough quality to further research on techniques regarding the automatic classification of urban point clouds. The fields to which that research may be applied are vast, as it provides the ability to increase productivity in regards to the management of urban infrastructures. Moreover, this type of data has the potential to be crucial in the field of autonomous vehicles.",

author = "Xavier Roynard and Deschaud, \{Jean Emmanuel\} and Francois Goulette",

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Roynard, X, Deschaud, JE & Goulette, F 2018, Paris-lille-3D: A point cloud dataset for urban scene segmentation and classification. Dans Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2018., 8575440, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, VOL. 2018-June, IEEE Computer Society, p. 2108-2111, 31st Meeting of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2018, Salt Lake City, États-Unis, 18/06/18. https://doi.org/10.1109/CVPRW.2018.00272

Paris-lille-3D: A point cloud dataset for urban scene segmentation and classification. / Roynard, Xavier; Deschaud, Jean Emmanuel; Goulette, Francois.
Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2018. IEEE Computer Society, 2018. p. 2108-2111 8575440 (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; Vol 2018-June).

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

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AB - This article presents a dataset called Paris-Lille-3D. This dataset is composed of several point clouds of outdoor scenes in Paris and Lille, France, with a total of more than 140 million hand labeled and classified points with more than 50 classes (e.g., the ground, cars and benches). This dataset is large enough and of high enough quality to further research on techniques regarding the automatic classification of urban point clouds. The fields to which that research may be applied are vast, as it provides the ability to increase productivity in regards to the management of urban infrastructures. Moreover, this type of data has the potential to be crucial in the field of autonomous vehicles.

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Roynard X, Deschaud JE, Goulette F. Paris-lille-3D: A point cloud dataset for urban scene segmentation and classification. Dans Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2018. IEEE Computer Society. 2018. p. 2108-2111. 8575440. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops). doi: 10.1109/CVPRW.2018.00272

Paris-lille-3D: A point cloud dataset for urban scene segmentation and classification

Résumé

Série de publications

Une conférence

Accès au document

Autres fichiers et liens

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