@Inbook{JoseM.Armingol2018,
author="Jose M. Armingol
and Jorge Alfonso
and Nourdine Aliane
and Miguel Clavijo
and Sergio Campos-Cordobes
and Arturo de la Escalera
and Javier del Ser
and Javier Fernandez
and Fernando Garcia
and Felipe Jimenez
and Antonio Lopez
and Mario Mata",
chapter="Environmental Perception for Intelligent Vehicles",
title="Intelligent Vehicles. Enabling Technologies and Future Developments",
year="2018",
pages="23--101",
optkeywords="Computer vision",
optkeywords="laser techniques",
optkeywords="data fusion",
optkeywords="advanced driver assistance systems",
optkeywords="traffic monitoring systems",
optkeywords="intelligent vehicles",
abstract="Environmental perception represents, because of its complexity, a challenge for Intelligent Transport Systems due to the great variety of situations and different elements that can happen in road environments and that must be faced by these systems. In connection with this, so far there are a variety of solutions as regards sensors and methods, so the results of precision, complexity, cost, or computational load obtained by these works are different. In this chapter some systems based on computer vision and laser techniques are presented. Fusion methods are also introduced in order to provide advanced and reliable perception systems.",
optnote="ADAS; 600.118",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=3046), last updated on Wed, 20 Jan 2021 11:49:13 +0100",
doi="10.1016/B978-0-12-812800-8.00002-3",
opturl="https://doi.org/10.1016/B978-0-12-812800-8.00002-3"
}