Driver drowsiness prediction based on multiple aspects using image processing techniques
VU Maheswari, R Aluvalu, MVVP Kantipudi… - IEEE …, 2022 - ieeexplore.ieee.org
The majority of the accidents were happening perpetually due to driver drowsiness over the
decades. Automation has been playing key role in many fields to provide conformity and …
decades. Automation has been playing key role in many fields to provide conformity and …
Real-time driver drowsiness detection based on eye movement and yawning using facial landmark
AM Al-Madani, AT Gaikwad, V Mahale… - 2021 International …, 2021 - ieeexplore.ieee.org
The drowsiness of the drivers might increase road accidents. Nowadays, computer vision
and image processing technology can solve the problem and decrease the number of …
and image processing technology can solve the problem and decrease the number of …
Edge-computing-facilitated nighttime vehicle detection investigations with CLAHE-enhanced images
In this study, we propose a novel CLAHE-based nighttime image contrast enhancement
approach for vehicle detection under nighttime conditions, which improves the contrast of …
approach for vehicle detection under nighttime conditions, which improves the contrast of …
Face fatigue feature detection based on improved DS model in complex scenes
J Cai, X Liao, J Bai, Z Luo, L Li, J Bai - IEEE Access, 2023 - ieeexplore.ieee.org
Fatigued driving is one of the main causes of road traffic accidents. In the process of fatigued
driving detection, the evaluation based on a single sign is biased. To improve the …
driving detection, the evaluation based on a single sign is biased. To improve the …
Allowance of driving based on drowsiness detection using audio and video processing
S Sathesh, S Maheswaran… - … Intelligence in Data …, 2022 - Springer
In the last few years, more accidents are happened mainly due to the drowsiness of the
driver. Various accident prevention technologies are developed but still accidents are …
driver. Various accident prevention technologies are developed but still accidents are …
Harnessing GPT-4V (ision) for Insurance: A Preliminary Exploration
The emergence of Large Multimodal Models (LMMs) marks a significant milestone in the
development of artificial intelligence. Insurance, as a vast and complex discipline, involves a …
development of artificial intelligence. Insurance, as a vast and complex discipline, involves a …
Driver's drowsiness detection system using Dlib HOG
A Babu, S Nair, K Sreekumar - Ubiquitous Intelligent Systems …, 2022 - Springer
For human beings, sleep is a key requirement. The secret of humankind's physical well-
being is sleep. In a study on sleep, researchers have proved that adults from the age of …
being is sleep. In a study on sleep, researchers have proved that adults from the age of …
Utilizing mobile phone sensors and machine learning to detect drivers through right leg motion
Abstract his paper begins with the assumption that a mobile phone is placed in the right
trouser pocket. Its primary objective is to ascertain whether the mobile phone belongs to the …
trouser pocket. Its primary objective is to ascertain whether the mobile phone belongs to the …
[图书][B] Integration of AI-Based Manufacturing and Industrial Engineering Systems with the Internet of Things
Integration of AI-Based Manufacturing and Industrial Engineering Systems with the Internet
of Things describes how AI techniques, such as deep learning, cognitive computing, and …
of Things describes how AI techniques, such as deep learning, cognitive computing, and …
[HTML][HTML] RFDANet: an FMCW and TOF radar fusion approach for driver activity recognition using multi-level attention based CNN and LSTM network
M Gu, K Chen, Z Chen - Complex & Intelligent Systems, 2024 - Springer
Dangerous driving behavior is a major contributing factor to road traffic accidents. Identifying
and intervening in drivers' unsafe driving behaviors is thus crucial for preventing accidents …
and intervening in drivers' unsafe driving behaviors is thus crucial for preventing accidents …