Criticality Assessment Method for Automated Driving Systems by Introducing Fictive Vehicles and Variable Criticality Thresholds. [PDF]
Sensors (Basel), 2022 Nalic D +6 more
europepmc +1 more source
Predictive Value of Composite Inflammatory Markers for Stroke Prognosis: A Prospective Cohort Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Novel composite inflammatory markers' role in stroke prognosis is understudied, and the best predictor is unclear, requiring further exploration. Objectives This study aimed to systematically evaluate the associations of 6 novel composite inflammatory markers on stroke prognosis.
Bing Wu +7 more
wiley +1 more source
IEEE AccessAutomated vehicles (AVs) require proactive safety systems to safely operate in diverse driving scenarios. The complexity and challenges of high-risk driving maneuvers, such as complete overtaking, have led the research community to make significant ...
Sandy Bolufe +2 more
doaj +1 more source
Configurable Sensor Model Architecture for the Development of Automated Driving Systems. [PDF]
Sensors (Basel), 2021 Schmidt S +3 more
europepmc +1 more source
Performance Evaluation of a ROS2 Based Automated Driving System
5263Automated driving is currently a prominent area of scientific work. In the future, highly automated driving and new Advanced Driver Assistance Systems will become reality.
Schnor, Bettina +3 more
core +1 more source
A Survey Study Measuring People\u27s Preferences Towards Automated and Non-Automated Ridesplitting [PDF]
, 2019 Ridesplitting is both common and important as it facilitates daily transportation needs. Alongside an increase in ridesplitting is the introduction of automated driving systems, which together, bring out the possibility of automated ridesplitting ...
Zhang, Fangda +5 more
core +1 more source
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
Assessing the physiological effect of non-driving-related task performance in conditionally automated driving systems: A systematic review and meta-analysis protocol. [PDF]
Digit Health, 2023 Coyne R +6 more
europepmc +1 more source
, 2019 Conditionally Automated Driving (CAD) may reduce drivers’ mental load and provide the driver opportunities to engage in non-driving related tasks (NDRTs). Such systems can be expected to enter the market within the next few years and effects of automated
Hergeth, Sebastian +4 more
core +1 more source
Towards a Quantitative SOTIF Validation of Automated Driving Systems [PDF]
, 2023 Automated driving systems are safety-critical cyber-physical systems whose safety of the intended functionality (SOTIF) cannot be assumed without proper argumentation based on appropriate evidences.
Putze, Lina
core