Implementation of a Computer Vision based Advanced Driver Assistance System in Tizen IVI

Egileak: Gorka Velez, Orti Senderos, Marcos Nieto, Oihana Otaegui, Geoffroy Van Cutsem

Data: 08.09.2014


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Abstract

There are many reasons for programming in Tizen: it is based on standards, is open, it has industry support and multiple profiles. In this paper we test the potential of one this profiles: Tizen IVI (In-Vehicle Infotainment). For this purpose, we present the implementation of two Computer Vision based Advanced Driver Assistance Systems (ADAS) in a Tizen IVI platform: a Lane Departure Warning (LDW) and a Driver Fatigue Detection (DFD). The results show that both application implementations are capable of achieve a real-time performance. Moreover, the process of porting an existing application to a native Tizen IVI application can be really smooth if some considerations are followed.

BIB_text

@Article {
author = {Gorka Velez, Orti Senderos, Marcos Nieto, Oihana Otaegui, Geoffroy Van Cutsem},
title = {Implementation of a Computer Vision based Advanced Driver Assistance System in Tizen IVI},
keywds = {

Advanced Driver Assistance System, Tizen, Computer Vision, Algorithm implementation


}
abstract = {

There are many reasons for programming in Tizen: it is based on standards, is open, it has industry support and multiple profiles. In this paper we test the potential of one this profiles: Tizen IVI (In-Vehicle Infotainment). For this purpose, we present the implementation of two Computer Vision based Advanced Driver Assistance Systems (ADAS) in a Tizen IVI platform: a Lane Departure Warning (LDW) and a Driver Fatigue Detection (DFD). The results show that both application implementations are capable of achieve a real-time performance. Moreover, the process of porting an existing application to a native Tizen IVI application can be really smooth if some considerations are followed.


}
date = {2014-09-08},
year = {2014},
}
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