Authors:
Andrés Serna
;
Beatriz Marcotegui
;
François Goulette
and
Jean-Emmanuel Deschaud
Affiliation:
MINES ParisTech, France
Keyword(s):
3D Database, Mobile Laser Scanner, Urban Analysis, Segmentation, Classification, Point-wise Evaluation.
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.
(More)