Smartphone based context-aware driver behavior classification using dynamic bayesian network

R Chhabra, CR Krishna… - Journal of Intelligent & …, 2019 - content.iospress.com
Abstract Intelligent Transportation Systems (ITS) aim at reducing the risks associated with
the transportation system as road accidents are becoming one of the primary causes of …

Distracted Driving Behavior and Driver's Emotion Detection Based on Improved YOLOv8 with Attention Mechanism

B Ma, Z Fu, S Rakheja, D Zhao, W He, W Ming… - IEEE …, 2024 - ieeexplore.ieee.org
An improved YOLOv8 detection method is proposed for detecting distracted driving behavior
and driver's emotion. Unlike the commonly used YOLOv8 method, an attention mechanism …

Survey of context-aware video transmission over vehicular ad-hoc networks (VANETs)

RF Shaibani, AT Zahary - EAI Endorsed Transactions on Mobile …, 2018 - publications.eai.eu
Vehicular ad-hoc networks (VANETs) are defined as a group of wireless mobile nodes that
characterized by their high mobility. Therefore, the topology frequently changes and high …

Lightweight Drowsy Driving Recognition System

C Jian, Q Ge, J Haibo - 2024 IEEE 7th International …, 2024 - ieeexplore.ieee.org
To address the issues of excessive parameters and high computational load in fatigue
driving detection models, a lightweight detection algorithm based on YOLOv8n is proposed …

Driver Behaviour Classification Framework in the Context of Car Following for Drivers in Malaysia Based on Random Forest Algorithm

MT Saleem - 2023 - search.proquest.com
Increasing road fatalities year after year is a significant challenge in many countries.
However, real-time driver behaviour modelling in the car-following context for drivers in …

Kontext-differenzierte Modellierung des Fahrverhaltens auf Autobahnen mit streckenbezogener Verkehrsbeeinflussung

J Grimm - 2022 - tud.qucosa.de
Abstract (DE) Auf vielen hochbelasteten Autobahnabschnitten kommen
Streckenbeeinflussungsanlagen (SBA) zum Einsatz, um die Verkehrssicherheit und den …