A review on emergency vehicle management for intelligent transportation systems

MS Peelam, M Gera, V Chamola… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Designing an Emergency Vehicle Management (EVM) system that can provide competent
services with the shortest possible delay is challenging. This is primarily due to the highly …

A review on recent driver safety systems and its emerging solutions

A Nair, V Patil, R Nair, A Shetty… - International Journal of …, 2024 - Taylor & Francis
Road safety and accident prevention are critical concerns in modern transportation. This
paper presents a comprehensive survey of driver safety systems, focusing on the latest …

Application of iot and artificial intelligence in road safety

S Bhattacharya, H Jha… - … Research in Technology …, 2022 - ieeexplore.ieee.org
This paper explores the advancement of the Internet of Things (IoT) and Machine Learning
in the field of Road Safety and accident prevention with a state-of-the-art review of various …

Driver Posture Recognition: A Review

AS Mahomed, AK Saha - IEEE Access, 2024 - ieeexplore.ieee.org
Driver Posture Recognition Systems (DPRS) are indispensable for advancement in vehicle
safety by tracking driver posture using sensors and cameras. These systems monitor the …

Driver Distraction Classification Using Deep Convolutional Autoencoder and Ensemble Learning

A Muthuswamy, MAA Dewan, M Murshed… - IEEE Access, 2023 - ieeexplore.ieee.org
The study of real-time classification for driver distraction provides new insights into the
understanding of behavioral and cognitive reasons behind it. Among various approaches …

[HTML][HTML] Advancing Road Safety: A Comprehensive Evaluation of Object Detection Models for Commercial Driver Monitoring Systems

H Zia, I Hassan, M Khurram, N Harris, F Shah… - Future …, 2025 - mdpi.com
This paper addresses the critical issue of road safety in the indispensable role of
transportation for societal well-being and economic growth. Despite global initiatives like …

An Embedded Solution of Gaze Estimation for Driver Assistance Using Computer Vision

HU Draz, MI Ali, MUG Khan, M Ahmad… - 2021 International …, 2021 - ieeexplore.ieee.org
Drowsy driving is a severe public health issue that has to be addressed. According to recent
studies, sleepy drivers are responsible for almost 20% of all car accidents. Trustworthy …

Spatiotemporal Pyramidal CNN with Depth-Wise Separable Convolution for Eye Blinking Detection in the Wild

LAT Nguy, BN Gia, TTT Nguyen, K Eiji… - arXiv preprint arXiv …, 2023 - arxiv.org
Eye blinking detection in the wild plays an essential role in deception detection, driving
fatigue detection, etc. Despite the fact that numerous attempts have already been made, the …

Research Report on Lifelike Agents for In-Vehicle HMI Related to Traffic Safety Factors

J Li, Q Yuan - CICTP 2024, 2024 - ascelibrary.org
In autonomous driving and driver assistance systems, lifelike human–machine interaction
(HMI) agents perform voice, speech synthesis, image, gesture, facial recognition, natural …

[引用][C] A Review Paper of the Effects of Distinct Modalities and ML Techniques to Distracted Driving Detection

A Dontoh, S Ivey, L Sirbaugh, A Aboah - arXiv preprint arXiv:2501.11758, 2025