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A Review Paper of the Effects of Distinct Modalities and ML Techniques to Distracted Driving Detection
[HTML][HTML] DDC-Chat: Achieving accurate distracted driver classification through instruction tuning of visual language model
C Liao, K Lin - Journal of Safety Science and Resilience, 2024 - Elsevier
Driver behavior is a critical factor in road safety, highlighting the need for advanced methods
in Distracted Driving Classification (DDC). In this study, we introduce DDC-Chat, a novel …
in Distracted Driving Classification (DDC). In this study, we introduce DDC-Chat, a novel …
Deep Learning-based Real-Time Driver Cognitive Distraction Detection
Driver distraction is one of the main causes of traffic accidents. While there are different
types of distraction (manual, visual, cognitive), cognitive distraction is particularly …
types of distraction (manual, visual, cognitive), cognitive distraction is particularly …
[HTML][HTML] A New Approach to Detect Driver Distraction to Ensure Traffic Safety and Prevent Traffic Accidents: Image Processing and MCDM
One of the factors that threaten traffic safety and cause various traffic problems is distracted
drivers. Various studies have been carried out to ensure traffic safety and, accordingly, to …
drivers. Various studies have been carried out to ensure traffic safety and, accordingly, to …
Video-based road accident detection on highways: A less complex YOLOv5 approach
KADD Dharmadasa, GK Sahoo… - … Engineering & their …, 2023 - ieeexplore.ieee.org
Advancement of Artificial Intelligence (AI) technologies and the availability of high-end
computing devices create scope for the implementation of intelligent transport infrastructure …
computing devices create scope for the implementation of intelligent transport infrastructure …