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
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
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},
}