Projects per year
Abstract
Drowsiness detection systems are intended to warn the drivers before increasing fatigue in order to prevent accidents. The difficulty of classifying driver vigilance in an accurate, robust, and predictive manner is a delicate task. Deep learning using different data sources, such as vehicle-based data (steering angle, mid-lane deviation, etc.), facial data (eyelid movement), and biosignals (heart rate) offer the highest potential. The chapter will summarize the different methods using deep learning and the related results in achieving accuracy, robustness and prediction. It also highlights the difficulties in obtaining signals from various data sources, pre-processing them, and finding an adequate deep learning method.
Original language | English |
---|---|
Title of host publication | Deep Learning and Its Applications for Vehicle Networks |
Editors | Fei Hu , Iftikhar Rasheed |
Publisher | CRC Press |
Pages | 17-37 |
Number of pages | 21 |
ISBN (Electronic) | 9781000877236 |
ISBN (Print) | 9781032041377 |
DOIs | |
Publication status | Published - 2023 |
ASJC Scopus subject areas
- Computer Science(all)
Fields of Expertise
- Mobility & Production
Fingerprint
Dive into the research topics of 'Deep Learning for Driver Drowsiness Classification for safe vehicle application'. Together they form a unique fingerprint.-
DVS: Vehicle Dynamics
Koglbauer, I. V., Lex, C., Shao, L., Semmer, M., Rogic, B., Peer, M., Hackl, A., Sternat, A. S., Schabauer, M., Samiee, S., Eichberger, A., Ager, M., Malić, D., Wohlfahrter, H., Scherndl, C., Magosi, Z. F., Orucevic, F., Puščul, D., Arefnezhad, S., Karoshi, P., Schöttel, C. E., Pandurevic, A., Harcevic, A., Wellershaus, C., Li, H., Mihalj, T., Kanuric, T., Gu, Z., Wallner, D., De Cristofaro, F., Soboleva, K., Nalic, D., Bernsteiner, S., Kraus, H., Zhao, Y., Bodner, J., Bui, D. T., Hirschberg, W., Plöckinger, M. & Khoshnood Sarabi, N.
1/01/11 → …
Project: Research area
-
WACHsens - Evaluation of driver performance in semi-automated driving by physiologic, driver behavior and video based sensors
1/05/17 → 30/04/19
Project: Research project
Prizes
-
Research Data Management (RDM) Marketplace
Arefnezhad, Sadegh (Recipient) & Eichberger, Arno (Recipient), 28 Oct 2020
Prize: Prizes / Medals / Awards
File -
Respect for diversity: TU Graz diversity awards
Arefnezhad, Sadegh (Recipient), 21 Nov 2019
Prize: Prizes / Medals / Awards
File