Driver Distraction Detection Methods: A Literature Review and Framework
Driver inattention and distraction are the main causes of road accidents, many of which result in fatalities. To reduce road accidents, the development of information systems to detect driver inattention and distraction is essential. Currently, distraction detection systems for road vehicles are not...
Main Authors: | Alexey Kashevnik, Roman Shchedrin, Christian Kaiser, Alexander Stocker |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9405644/ |
Similar Items
-
Distracted Driver Monitoring with Smartphones: A Preliminary Literature Review
by: Christian Kaiser, et al.
Published: (2021-05-01) -
Monitoring Distracted Driving Behaviours with Smartphones: An Extended Systematic Literature Review
by: Efi Papatheocharous, et al.
Published: (2023-08-01) -
Exploring Monitoring Systems Data for Driver Distraction and Drowsiness Research
by: António Lobo, et al.
Published: (2020-07-01) -
Highly discriminative driver distraction detection method based on Swin Transformer
by: Zhang, Ziyang, et al.
Published: (2024) -
Driver Behavior Monitoring Based on Smartphone Sensor Data and Machine Learning Methods
by: Friedrich Lindow, et al.
Published: (2019-11-01)