Record Details

uB-VisioGeoloc: An image sequences dataset of pedestrian navigation including geolocalised-inertial information and spatial sound rendering of the urban environment’s obstacles

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title uB-VisioGeoloc: An image sequences dataset of pedestrian navigation including geolocalised-inertial information and spatial sound rendering of the urban environment’s obstacles
 
Identifier https://doi.org/10.7910/DVN/UYFPKM
 
Creator SCALVINI, Florian
BORDEAU, Camille
AMBARD, Maxime
MIGNOT, Cyrille
VERGNAUD, Mathilde
DUBOIS, Julien
 
Publisher Harvard Dataverse
 
Description This dataset contains sequences of pedestrian navigation in an urban environment carried out in the city of Dijon, France, in a variety of representative environments.
Synchronised colour and depth images, as well as GPS and inertial positioning data, are recorded. The colour images are annotated to reference and locate elements of significance to pedestrians (cars, pavements, signs, etc.).
This dataset was produced as part of a project to develop a mobility assistance system for the visually impaired using sound substitution. For each sequence, a sound file corresponding to a substitution method is proposed.
 
Subject Computer and Information Science
computer vision, navigation, sonification
 
Date 2024-01-12
 
Contributor SCALVINI, Florian
Conseil Régional de Bourgogne Franche-Comté
Fond Européen de Développement Régional (FEDER)
 
Type RGB-D Image sequence (png)
Object annotation (xml)
audio (mpeg)
Metadata (txt)