DeepDrive: A braking decision making approach using optimized GAN and Deep CNN for advanced driver assistance systems
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 …
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 …
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
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) …
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
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 …
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
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 …
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
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 …
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 …
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
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 …
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 …
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
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 …
Measuring cognitive levels helps to design personalized instructional materials to enhance …