Paris-rue-Madame database: a 3D mobile laser scanner dataset for benchmarking urban detection, segmentation and classification methods

Abstract : This paper describes a publicly available 3D database from the rue Madame, 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.
Type de document :
Communication dans un congrès
4th International Conference on Pattern Recognition, Applications and Methods ICPRAM 2014, Mar 2014, Angers, France. 2014
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https://hal.archives-ouvertes.fr/hal-00963812
Contributeur : Andrés Serna <>
Soumis le : samedi 22 mars 2014 - 11:35:09
Dernière modification le : mardi 12 septembre 2017 - 11:41:06
Document(s) archivé(s) le : dimanche 22 juin 2014 - 10:37:12

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  • HAL Id : hal-00963812, version 1

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Andrés Serna, Beatriz Marcotegui, François Goulette, Jean-Emmanuel Deschaud. Paris-rue-Madame database: a 3D mobile laser scanner dataset for benchmarking urban detection, segmentation and classification methods. 4th International Conference on Pattern Recognition, Applications and Methods ICPRAM 2014, Mar 2014, Angers, France. 2014. <hal-00963812>

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