@InProceedings{CordeiroPedr:2018:ArCoRi,
author = "Cordeiro, Natal Henrique and Pedrino, Emerson Carlos",
affiliation = "{Federal Institute of S{\~a}o Paulo and Federal University of
S{\~a}o Carlos} and {Federal University of S{\~a}o Carlos}",
title = "An Architecture for Collision Risk Prediction for Visually
Impaired People",
booktitle = "Proceedings...",
year = "2018",
editor = "Ross, Arun and Gastal, Eduardo S. L. and Jorge, Joaquim A. and
Queiroz, Ricardo L. de and Minetto, Rodrigo and Sarkar, Sudeep and
Papa, Jo{\~a}o Paulo and Oliveira, Manuel M. and Arbel{\'a}ez,
Pablo and Mery, Domingo and Oliveira, Maria Cristina Ferreira de
and Spina, Thiago Vallin and Mendes, Caroline Mazetto and Costa,
Henrique S{\'e}rgio Gutierrez and Mejail, Marta Estela and Geus,
Klaus de and Scheer, Sergio",
organization = "Conference on Graphics, Patterns and Images, 31. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "Visually impaired people, prediction, collision risk, dynamic
objects.",
abstract = "The production of sensory substitution equipment for the visually
impaired (VIP) is growing. The aim of this project is to
understand the VIP context and predict the risks of collision for
the VIP, following an analysis of the position, distance, size and
motion of the objects present in their environment. This
understanding is refined by data fusion steps applied to the
Situation Awareness model to predict possible impacts in the near
future. With this goal, a new architecture was designed, composed
of systems that detect free passages, static objects, dynamic
objects and the paths of these dynamic objects. The detected data
was mapped into a 3D plane verifying positions and sizes. For the
fusion, a method was developed that compared four more general
classifiers in order to verify which presented greater reliability
in the given context. These classifiers allowed inferences to be
made when analyzing the risks of collision in different
directions. The architecture designed for risk prediction is the
main contribution of this project.",
conference-location = "Foz do Igua{\c{c}}u, PR, Brazil",
conference-year = "29 Oct.-1 Nov. 2018",
doi = "10.1109/SIBGRAPI.2018.00046",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2018.00046",
language = "en",
ibi = "8JMKD3MGPAW/3RNB8L5",
url = "http://urlib.net/ibi/8JMKD3MGPAW/3RNB8L5",
targetfile = "37.pdf",
urlaccessdate = "2024, May 02"
}