Results 71 to 80 of about 14,572 (301)

A Unified Lateral Preview Driver Model for Road Vehicles

, 2020
This paper presents a unified lateral preview driver model for closed-loop dynamic simulations of road vehicles. Numerous driver models have been proposed for Single-Unit Vehicles (SUVs).
Zhu, Shenjin, Zhu, Shenjin,, He, Yuping, He, Yuping,   +3 more
core   +1 more source

Glance behaviours when using an in-vehicle smart driving aid : a real-world, on-road driving study [PDF]

, 2014
In-vehicle information systems (IVIS) are commonplace in modern vehicles, from the initial satellite navigation and in-car infotainment systems, to the more recent driving related Smartphone applications.
Fowkes, Mark, Birrell, Stewart A.
core   +1 more source

Profound Leadership Strategies: Transcending the Leadership Crisis in the Age of Artificial Intelligence

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT This article examines the evolving role of organizational leadership amidst the rapid advancements in artificial intelligence (AI). It explores a broadly experienced and documented crisis in leadership, due in part to the disruptive nature of AI and emerging technology.
Rachel Wlodarsky, Davin Carr Chellman
wiley   +1 more source

Deep Learning Model for Driver Behavior Detection in Cyber-Physical System-Based Intelligent Transport Systems

IEEE Access
As Intelligent Transport Systems (ITS) continue to evolve, the quest for improving road safety and transportation efficiency has gained renewed emphasis.
Brij B. Gupta, Akshat Gaurav, Kwok Tai Chui, Varsha Arya   +3 more
doaj   +1 more source

Trajectory Planning Method for Mixed Vehicles Considering Traffic Stability and Fuel Consumption at the Signalized Intersection

Journal of Advanced Transportation, 2020
Traffic lights force vehicles to stop frequently at signalized intersections, which leads to excessive fuel consumption, higher emissions, and travel delays.
Shan Fang, Lan Yang, Tianqi Wang, Shoucai Jing   +3 more
doaj   +1 more source

Fluid Biomarkers of Disease Burden and Cognitive Dysfunction in Progressive Supranuclear Palsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Identifying objective biomarkers for progressive supranuclear palsy (PSP) is crucial to improving diagnosis and establishing clinical trial and treatment endpoints. This study evaluated fluid biomarkers in PSP versus controls and their associations with regional 18F‐PI‐2620 tau‐PET, clinical, and cognitive outcomes.
Roxane Dilcher, Charles B. Malpas, Stuart J. McDonald, William T. O’Brien, Craig Despott, Kelly L. Bertram, Matthew P. Pase, Lukas Frontzkowski, Meng Law, Terence J. O’Brien, Lucy Vivash   +10 more
wiley   +1 more source

Prediction of Driver’s Attention Points Based on Attention Model

Applied Sciences, 2020
The current intelligent driving system does not consider the selective attention mechanism of drivers, and it cannot completely replace the drivers to extract effective road information.
Shuanfeng Zhao, Guodong Han, Qingqing Zhao, Pei Wei   +3 more
doaj   +1 more source

Multidimensional Profiling of MRI‐Negative Temporal Lobe Epilepsy Uncovers Distinct Phenotypes

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Although hippocampal sclerosis (TLE‐HS) represents the most frequent cause of temporal lobe epilepsy (TLE), up to 30% of patients show no lesion on visual MRI inspection (TLE‐MRIneg). These cases pose diagnostic and therapeutic challenges and are underrepresented in surgical series.
Alice Ballerini, Alessia Casarini, Niccolò Biagioli, Laura Mirandola, Daniela Ballotta, Paul Summers, Simona Scolastico, Laura Madrassi, Maurilio Genovese, Marcella Malagoli, Gaetano Cantalupo, Giada Giovannini, Matteo Pugnaghi, Niccolò Orlandi, Laura Tassi, Valeria Cuccarini, Domenico Aquino, Elena Tartara, Fulvia Palesi, Giuseppe Didato, Paolo Vitali, the 3TLE Study Group, Roberta Di Giacomo, Fabio Doniselli, Federica Mazzi, Carlo Andrea Galimberti, Claudia A. M. Gandini Wheeler‐Kingshott, Stefano Meletti, Anna Elisabetta Vaudano   +28 more
wiley   +1 more source

Dynamic Correction of Preview Weighting in the Driver Model Inspired by Human Brain Memory Mechanisms

Machines
Driver models, which provide mathematical or computational representations of human driving behavior, are crucial for intelligent driving systems by enabling stable and repeatable operations.
Chang Li, Hengyu Wang, Bo Yang, Haotian Luo, Jianjin Liu, Wei Zheng   +5 more
doaj   +1 more source

A risk-based driver behaviour model

, 2023
Current driver behaviour models (DBMs) are primarily designed for the general driver population under specific scenarios, such as car following or lane changing. Hence DBMs capturing individual behaviour under various scenarios are lacking.
Wang, M. (author), Wang, X. (author), Calvert, S.C. (author), Happee, R. (author), Yuan, Y. (author)   +4 more
core   +1 more source