Computer vision: the emerging cost-effective technology for vehicles

Autores: Marcos Nieto, Juan Diego Ortega, Oihana Otaegui, Andoni Cortés, Javier Barandiaran, Luis Unzueta

Fecha: 04.06.2013


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Abstract

In this paper we analyze the recent exponential growth of applications based on video processing in the framework of Advanced Driver Assistance Systems (ADAS). Specifically, we focus on the cost-effective solutions provided by computer vision methods for services like lane departure warning systems, collision avoidance systems, etc. Along the paper our own contributions are described as examples of the state of the art from the perspective of real-time by design, searching a trade-off between the accuracy and reliability of the designed algorithms, and the restrictive computational, economical and design requisites of embedded platforms.

BIB_text

@Article {
author = {Marcos Nieto, Juan Diego Ortega, Oihana Otaegui, Andoni Cortés, Javier Barandiaran, Luis Unzueta},
title = {Computer vision: the emerging cost-effective technology for vehicles},
keywds = {

ADAS, Computer vision, real-time, embedded systems


}
abstract = {

In this paper we analyze the recent exponential growth of applications based on video processing in the framework of Advanced Driver Assistance Systems (ADAS). Specifically, we focus on the cost-effective solutions provided by computer vision methods for services like lane departure warning systems, collision avoidance systems, etc. Along the paper our own contributions are described as examples of the state of the art from the perspective of real-time by design, searching a trade-off between the accuracy and reliability of the designed algorithms, and the restrictive computational, economical and design requisites of embedded platforms.


}
date = {2013-06-04},
year = {2013},
}
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