Neuromorphic driver monitoring systems: A proof-of-concept for yawn detection and seatbelt state detection using an event camera

P Kielty, MS Dilmaghani, W Shariff, C Ryan… - IEEE …, 2023 - ieeexplore.ieee.org
Driver monitoring systems (DMS) are a key component of vehicular safety and essential for
the transition from semi-autonomous to fully autonomous driving. Neuromorphic vision …

Automated Detection of Driver and Passenger Without Seat Belt using YOLOv8.

A Sugiharto, R Kusumaningrum - International Journal of …, 2023 - search.ebscohost.com
The issue of traffic accident fatalities is a serious concern on a global scale, and one of the
contributing factors is the failure of drivers to adhere to seat belt usage. A notable challenge …

Improved car detection performance on highways based on YOLOv8

S Sutikno, A Sugiharto, R Kusumaningrum… - Bulletin of Electrical …, 2024 - beei.org
Car detection on the road through computer vision is crucial for improving safety, as it plays
an essential role in spotting nearby vehicles and preventing fatal accidents. Additionally, car …

Enhancing Road Safety: Deep Learning-Based Automated Seat Belt Detection in Indian Traffic

PK Nayak, D Muduli, R Das… - 2024 1st International …, 2024 - ieeexplore.ieee.org
The global surge in driving rates has led to a rise in accidents and injuries, particularly
affecting low and middle-income countries. Seat belts play a crucial role in protecting …

SEATBELT DETECTION IN TRAFFIC SYSTEM USING AN IMPROVED YOLOv5

W Yassin, F Abdollah, A Ismail… - Journal of Advanced …, 2023 - jacta.utem.edu.my
Seat belt use is essential for avoiding fatalities and serious injuries in car accidents. Due to
the challenge of identifying vehicles in images of a traffic scene that are affected by …