Paris-rue-Madame Database - A 3D Mobile Laser Scanner Dataset for Benchmarking Urban Detection, Segmentation and Classification Methods

Andrés Serna, Beatriz Marcotegui, François Goulette, Jean-Emmanuel Deschaud

Abstract

This paper describes a publicly available 3D database from the rueMadame, a street in the 6th Parisian district. Data have been acquired by the Mobile Laser Scanning (MLS) system L3D2 and correspond to a 160 m long street section. Annotation has been carried out in a manually assisted way. An initial annotation is obtained using an automatic segmentation algorithm. Then, a manual refinement is done and a label is assigned to each segmented object. Finally, a class is also manually assigned to each object. Available classes include facades, ground, cars, motorcycles, pedestrians, traffic signs, among others. The result is a list of (X, Y, Z, reflectance, label, class) points. Our aim is to offer, to the scientific community, a 3D manually labeled dataset for detection, segmentation and classification benchmarking. With respect to other databases available in the state of the art, this dataset has been exhaustively annotated in order to include all available objects and to allow point-wise comparison.

References

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Paper Citation


in Harvard Style

Serna A., Marcotegui B., Goulette F. and Deschaud J. (2014). Paris-rue-Madame Database - A 3D Mobile Laser Scanner Dataset for Benchmarking Urban Detection, Segmentation and Classification Methods . In Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: USA, (ICPRAM 2014) ISBN 978-989-758-018-5, pages 819-824. DOI: 10.5220/0004934808190824


in Bibtex Style

@conference{usa14,
author={Andrés Serna and Beatriz Marcotegui and François Goulette and Jean-Emmanuel Deschaud},
title={Paris-rue-Madame Database - A 3D Mobile Laser Scanner Dataset for Benchmarking Urban Detection, Segmentation and Classification Methods},
booktitle={Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: USA, (ICPRAM 2014)},
year={2014},
pages={819-824},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004934808190824},
isbn={978-989-758-018-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: USA, (ICPRAM 2014)
TI - Paris-rue-Madame Database - A 3D Mobile Laser Scanner Dataset for Benchmarking Urban Detection, Segmentation and Classification Methods
SN - 978-989-758-018-5
AU - Serna A.
AU - Marcotegui B.
AU - Goulette F.
AU - Deschaud J.
PY - 2014
SP - 819
EP - 824
DO - 10.5220/0004934808190824