Book Chapter10.1007/978-3-030-32564-0_53
Fuzzy Decision Algorithm for Driver Drowsiness Detection
Tiberiu Vesselenyi,Alexandru Rus,Tudor Mitran,Sorin Moca,Csokmai Lehel +4 more
- 23 Oct 2019
- pp 458-467
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TL;DR: The paper presents the development of a multi-criterial fuzzy decision algorithm applied to the monitoring and warning of drowsy drivers in order to prevent accidents, based on EEG signals and eye state images.
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Abstract: The paper presents the development of a multi-criterial fuzzy decision algorithm applied to the monitoring and warning of drowsy drivers in order to prevent accidents, based on EEG signals and eye state images. The drowsiness warning system is based on four main components, which learn, analyze and decide whether the driver is or is not in a drowsy or sleepy state. This result can be then used to warn the driver if he/she is in a drowsy state.
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Citations
Driver Drowsiness Multi-Method Detection for Vehicles with Autonomous Driving Functions
Horia Beles,Tiberiu Vesselenyi,Alexandru Rus,T. L. Mitran,F. Scurt,Bogdan Tolea +5 more
- 28 Feb 2024
TL;DR: Driver drowsiness detection system based on EOG and eye state images for issuing warnings and potential intervention.
4
Driver alertness monitoring system in the context of safety increasing and sustainable energy use
TL;DR: In this article , the authors present a system for monitoring and warning the driver to prevent a possible accident involving material damage, injury, or loss of life, which is an important factor in carbon dioxide emissions.
2
Advanced Driver Assistant System Using Image Processing
Rachana Admane,Pali Wanjari,Shweta Sonkusare,Kanchan P. Kamble +3 more
- 23 Feb 2022
TL;DR: A driving assistant system using image processing method has been proposed, where the facial expression that reveals the exhaustion level of the driver can be identified and alerts him accordingly.
1
Advance Collision Prevention System
N.K. Singh,Meenakshi Srivastava,Sumit Mohan,Ashif Ali,Varun Kumar Singh,Prashant Singh +5 more
- 01 Jan 2023
TL;DR: In this paper , the authors presented the efficient working model of the Advance Collision Prevention System (ACP System) using computer vision and machine learning (ML) using facial expression detection technique is widely used in recognition of facial expression to understand human intention.
Performance Evaluation of Major Classification Algorithms for Aggressive Driving Detection using CAN-bus Data
Berat Karabuluter,O. Karaduman,Murat Karabatak,Haluk Eren +3 more
- 31 Dec 2020
TL;DR: Ileri Surucu Destek Sistemleri (ISDS) insansiz araclar icin bir kilometre tasidir as discussed by the authors insaniz arAClar imaciyla aracin OBDII soketinden elde edilen CAN-bus verilerini kullanir.
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