A survey on driver behavior analysis from in-vehicle cameras

J Wang, W Chai, A Venkatachalapathy… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Distracted or drowsy driving is unsafe driving behavior responsible for thousands of crashes
every year. Studying driver behavior has challenges associated with observing drivers in …

A review of human performance models for prediction of driver behavior and interactions with in-vehicle technology

J Park, M Zahabi - Human factors, 2024 - journals.sagepub.com
Objective This study investigated the use of human performance modeling (HPM) approach
for prediction of driver behavior and interactions with in-vehicle technology. Background …

Multitasking in driving as optimal adaptation under uncertainty

JPP Jokinen, T Kujala, A Oulasvirta - Human factors, 2021 - journals.sagepub.com
Objective The objective was to better understand how people adapt multitasking behavior
when circumstances in driving change and how safe versus unsafe behaviors emerge …

Proactive analysis of construction equipment operators' hazard perception error based on cognitive modeling and a dynamic Bayesian network

J Li, H Li, F Wang, ASK Cheng, X Yang… - Reliability Engineering & …, 2021 - Elsevier
Construction equipment-related accidents are unarguably one of the most frequent types of
construction accidents. Construction equipment operators' hazard perception error (HPE) …

The attentional demand of automobile driving revisited: Occlusion distance as a function of task-relevant event density in realistic driving scenarios

T Kujala, J Mäkelä, I Kotilainen, T Tokkonen - Human factors, 2016 - journals.sagepub.com
Objective: We studied the utility of occlusion distance as a function of task-relevant event
density in realistic traffic scenarios with self-controlled speed. Background: The visual …

Behavioral research and practical models of drivers' attention

I Kotseruba, JK Tsotsos - arXiv preprint arXiv:2104.05677, 2021 - arxiv.org
Driving is a routine activity for many, but it is far from simple. Drivers deal with multiple
concurrent tasks, such as keeping the vehicle in the lane, observing and anticipating the …

[图书][B] Methods for analysis of naturalistic driving data in driver behavior research

J Bärgman - 2016 - search.proquest.com
In the last several years, the focus of traffic safety research—especially when performed in
association with the automotive industry—has shifted from preventing injury during a crash …

[PDF][PDF] Wege aus der Ironie in Richtung ernsthafter Automatisierung

A Lüdtke - Zukunft der Arbeit in Industrie 4.0, 2015 - library.oapen.org
Dieser Text beschäftigt sich mit konzeptuellen Überlegungen und einem Vorgehensmodell
zur systematischen Berücksichtigung des Faktors Mensch im Rahmen der Automatisierung …

Maad: A model and dataset for" attended awareness" in driving

D Gopinath, G Rosman, S Stent… - Proceedings of the …, 2021 - openaccess.thecvf.com
We propose a computational model to estimate a person's attended awareness of their
environment. We define" attended awareness" to be those parts of a potentially dynamic …

A closed-loop model of operator visual attention, situation awareness, and performance across automation mode transitions

AW Johnson, KR Duda, TB Sheridan… - Human …, 2017 - journals.sagepub.com
Objective: This article describes a closed-loop, integrated human–vehicle model designed
to help understand the underlying cognitive processes that influenced changes in subject …