@conference{Visekruna2018,
title = {Realization of VR application for displaying geographic maps},
author = {Uroš Višekruna and Milan Z. Bjelica and Milan Savić and Goran Stupar},
url = {https://www.etran.rs/2018/IcETRAN/News/IcETRAN%20sumarni%20program%20sekcija_Ver.%204.3.pdf},
year = {2018},
date = {2018-06-11},
booktitle = {International Conference on Electrical, Electronic and Computing Engineering (IcETRAN 2018)},
number = {RT1.1},
publisher = {IEEE},
address = {Palić, Serbia},
abstract = {This paper presents realization of virtual reality application in Android operating system. Application provides an overview of a three dimensional planet Earth model that is extended with useful information, such as weather forecast and population density. This information is supplied by using Web services. Application architecture is presented, as well as the results of testing, including memory consumption and frame rate. Possible directions for future work include improvement of graphical design, and optimization of the use of graphical resources. },
howpublished = {M33},
keywords = {computer vision, consumer electronics, gaming, HMI, ieeexplore, user experience, user interface},
pubstate = {published},
tppubtype = {conference}
}
This paper presents realization of virtual reality application in Android operating system. Application provides an overview of a three dimensional planet Earth model that is extended with useful information, such as weather forecast and population density. This information is supplied by using Web services. Application architecture is presented, as well as the results of testing, including memory consumption and frame rate. Possible directions for future work include improvement of graphical design, and optimization of the use of graphical resources.
@conference{telfor1,
title = {Driver monitoring algorithm for Advanced Driver Assistance Systems},
author = {Aleksandra Simić and Ognjen Kocić and Milan Z. Bjelica and Milena Milošević},
doi = {10.1109/TELFOR.2016.7818908},
isbn = {978-1-5090-4086-5},
year = {2016},
date = {2016-11-22},
booktitle = {Telecommunications Forum (TELFOR), 2016 24th},
publisher = {IEEE},
address = {Belgrade, Serbia},
abstract = {Fast expansion of Advanced Driver Assistance Systems (ADAS) market and applications has resulted in a high demand for various accompanying algorithms. In this paper we present an implementation of Driver monitoring algorithm. Main goal of the algorithm is to automatically asses if driver is tired and in that case, raise a proper alert. It is widely used as a standard component of rest recommendation systems. Our approach is based on combination of computer vision algorithms for face detection and eyes detection. Additionally, we have tested our implementation in controlled environment on a real ADAS platform board.},
howpublished = {M33},
keywords = {ADAS, automotive, computer vision, driver monitoring, ieeexplore, image processing},
pubstate = {published},
tppubtype = {conference}
}
Fast expansion of Advanced Driver Assistance Systems (ADAS) market and applications has resulted in a high demand for various accompanying algorithms. In this paper we present an implementation of Driver monitoring algorithm. Main goal of the algorithm is to automatically asses if driver is tired and in that case, raise a proper alert. It is widely used as a standard component of rest recommendation systems. Our approach is based on combination of computer vision algorithms for face detection and eyes detection. Additionally, we have tested our implementation in controlled environment on a real ADAS platform board.