Detecting and recognizing driver distraction through various data modality using machine learning: A review, recent advances, simplified framework and open …
Driver distraction is one of the main causes of fatal traffic accidents. Therefore, the ability to
detect driver inattention is essential in building a safe yet intelligent transportation system …
detect driver inattention is essential in building a safe yet intelligent transportation system …
Driver distraction detection using semi-supervised lightweight vision transformer
The continuously increasing number of traffic accidents necessitates addressing distracted
driving, which is responsible for numerous fatalities. Enhancing driver behavior recognition …
driving, which is responsible for numerous fatalities. Enhancing driver behavior recognition …
L-TLA: A Lightweight Driver Distraction Detection Method Based on Three-Level Attention Mechanisms
Driver distraction is a significant factor leading to traffic accidents. Detecting driver distraction
is crucial for the development of advanced driver assistance systems (ADAS). With the …
is crucial for the development of advanced driver assistance systems (ADAS). With the …
Viewpoint invariant 3d driver body pose-based activity recognition
Driver monitoring will be required in many countries for all new vehicles with automation
functions. While the common approach for this task is face and eye gaze monitoring …
functions. While the common approach for this task is face and eye gaze monitoring …
[HTML][HTML] Depth Video-Based Secondary Action Recognition in Vehicles via Convolutional Neural Network and Bidirectional Long Short-Term Memory with Spatial …
W Shao, M Bouazizi, O Tomoaki - Sensors, 2024 - mdpi.com
Secondary actions in vehicles are activities that drivers engage in while driving that are not
directly related to the primary task of operating the vehicle. Secondary Action Recognition …
directly related to the primary task of operating the vehicle. Secondary Action Recognition …
Classification of Recorded Electrooculographic Signals on Drive Activity for Assessing Four Kind of Driver Inattention by Bagged Trees Algorithm: A Pilot Study
The act of engaging in secondary activities while driving can cause safety risks on public
roads due to the driver's distracted attention. The objective of the research was to predict …
roads due to the driver's distracted attention. The objective of the research was to predict …
Driver activity recognition using deep learning and human pose estimation
M Çetinkaya, T Acarman - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Driver Monitoring Systems play a crucial role at detecting driver's distraction to assure
perception and reaction when driver is loaded by secondary activities, and specifically …
perception and reaction when driver is loaded by secondary activities, and specifically …
Deep Learning-based Driver Activity Recognition using Diverse Driver Profiles
Driver attentiveness is paramount for ensuring both driver's personal safety and for road
safety. Annually, numerous lives are tragically lost due to driver distraction, underscoring the …
safety. Annually, numerous lives are tragically lost due to driver distraction, underscoring the …
Smart Driver Behavior Recognition and 360-Degree Surround-View Camera for Electric Buses
MU Cuma, Ç Dükünlü, E Yirik - Electronics, 2023 - mdpi.com
The automotive industry's focus on driver-oriented issues underscores the critical
importance of driver safety. This paper presents the development of advanced driver …
importance of driver safety. This paper presents the development of advanced driver …
Appearance-posture fusion network for distracted driving behavior recognition
X Yang, Y Qiao, S Han, Z Feng, Y Chen - Expert Systems with Applications, 2024 - Elsevier
In recent years, detection techniques using computer vision and deep learning have shown
promise in assessing driver distraction. This paper proposes a fusion network that combines …
promise in assessing driver distraction. This paper proposes a fusion network that combines …