DeepDrive: A braking decision making approach using optimized GAN and Deep CNN for advanced driver assistance systems

S Veluchamy, KM Mahesh, PT Sheeba - Engineering Applications of …, 2023 - Elsevier
Reduction of the number of traffic accidents is a vital requirement in many countries over the
world. In these circumstances, the Human–Robot Interaction (HRI) mechanisms utilization is …

Personalized design strategy of vehicle steer-by-wire characteristics considering driving style

S Zou, Z Luan, W Zhao, C Wang - Proceedings of the …, 2023 - journals.sagepub.com
In order to meet the needs of drivers with different driving styles and improve driving comfort
and safety, a personalized design strategy of vehicle steer-by-wire (SBW) characteristics …

Investigation of bus drivers' reaction to ADAS warning system: application of the Gaussian mixed model

W Ye, Y Xu, F Zhou, X Shi, Z Ye - Sustainability, 2021 - mdpi.com
Road crashes cause serious loss of life and property. Among all vehicles, buses are more
likely to encounter crashes. In recent years, the advanced driving assistance system (ADAS) …

Eye-Blink Event Detection Using a Neural-Network-Trained Frame Segment for Woman Drivers in Saudi Arabia

MS Al-Razgan, I Alruwaly, YA Ali - Electronics, 2023 - mdpi.com
Women have been allowed to drive in Saudi Arabia since 2018, revoking a 30-year ban that
also adhered to the traffic rules provided in the country. Conventional drivers are often …

Automated reasoning of vehicle brake-force: a fuzzy inference system model

M Akhtaruzzaman, MA Hossain… - International …, 2022 - inderscienceonline.com
Automatic regulation of vehicle braking system is very crucial to control vehicle speed, keep
it on its track, and avoid any collision. A traditional binary control for brake system is not …

A Behavior-Based Fuzzy Control System for Mobile Robot Navigation: Design and Assessment

JP Vásconez, M Calderón-Díaz, IC Briceño… - … on Advanced Research …, 2023 - Springer
Decreasing the number of robot navigation accidents due to slow robot reaction times is still
an important research topic. This paper proposes a methodology based on a behavior …

Cognitive task analysis-driven intelligent steering wheel interaction design

F You, Y Li, Q Fu, J Zhang - Journal of Intelligent & Fuzzy …, 2024 - content.iospress.com
With the increasing levels of intelligence and automation, the relationship between humans
and vehicles has evolved from a utilitarian perspective to a partnership. Among the crucial …

Intelligent technologies in manufacturing cyber-physical systems: evolution and future development

NV Kuznetsov, I Zaitceva… - … Signal Processing for …, 2023 - iopscience.iop.org
The intelligent industry continues to evolve and pose new challenges for engineers. This
trend triggered the development of intelligent methods and their advanced application in …

Fuzzy-Based Modeling with Semi-Automatic Rule Learning for Eye-Tracking Data Analysis: A Case Study on Raven's Progressive Matrices

AC da Silva, CM de Mesquita… - 2023 IEEE 11th …, 2023 - ieeexplore.ieee.org
Eye-tracking allows for the identification of events inherent to human vision, capable of
revealing implicit aspects of one's behavior. Identifying and correlating eye-tracking data …

Fuzzy Rule-Based Approach Towards Cognitive Load Measurement During Mental Task Using fNIRS

S Karmakar, C Koley, A Sinha, SK Saha… - … Conference on Pattern …, 2023 - Springer
Every individual utilizes a different level of cognitive load for the same mental task.
Measuring cognitive levels helps to design personalized instructional materials to enhance …