Results 111 to 120 of about 1,070,284 (327)

Test procedure for the evaluation of partially automated driving HMI including driver monitoring systems in driving simulation

open access: yesMethodsX
The proposed test procedure presents an approach for the evaluation of the usability of partial automated driving HMI including driver monitoring systems in driving simulation.
Nadja Schömig   +6 more
doaj   +1 more source

Towards Artificial-Intelligence-Based Cybersecurity for Robustifying Automated Driving Systems Against Camera Sensor Attacks

open access: yesIEEE Computer Society Annual Symposium on VLSI, 2020
CARAMEL is a European project that aims amongst others to improve and extend cyberthreat detection and mitigation techniques for automotive driving systems.
C. Kyrkou   +6 more
semanticscholar   +1 more source

Lessons Learned: Quality Analysis of Optical Coherence Tomography in Neuromyelitis Optica

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Optical coherence tomography (OCT)‐derived retina measurements are markers for neuroaxonal visual pathway status. High‐quality OCT scans are essential for reliable measurements, but their acquisition is particularly challenging in eyes with severe visual impairment, as often observed in neuromyelitis optica spectrum disorders ...
Hadi Salih   +40 more
wiley   +1 more source

User Education in Automated Driving: Owner’s Manual and Interactive Tutorial Support Mental Model Formation and Human-Automation Interaction

open access: yesInformation, 2019
Automated driving systems (ADS) and a combination of these with advanced driver assistance systems (ADAS) will soon be available to a large consumer population.
Yannick Forster   +4 more
doaj   +1 more source

Current Trends in Automated Driving Systems [PDF]

open access: yes
IFToMM Young Faculty Group Symposium on Emerging Fields in Mechanism and Machine Science1st IFToMM Young Faculty Group Symposium on Emerging Fields in Mechanism and Machine Science 2024: 19 - 21.
Viadero-Monasterio, Fernando   +4 more
openaire   +3 more sources

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah   +7 more
wiley   +1 more source

Ontology based Scene Creation for the Development of Automated Vehicles

open access: yes, 2018
The introduction of automated vehicles without permanent human supervision demands a functional system description, including functional system boundaries and a comprehensive safety analysis.
Bagschik, Gerrit   +2 more
core   +1 more source

Acoustic Measures Capture Speech Dysfunction in Spinocerebellar Ataxia

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxias (SCA) are hereditary cerebellar degenerative disorders with a common feature of dysarthria, involving impaired phonatory and articulatory control of speech, thereby affecting social communication. In this study, we investigated whether acoustic measures could objectively measure speech dysfunction and identify
Zena Fadel   +5 more
wiley   +1 more source

Trajectory Optimization for Automated Vehicles of Different Cooperation Classes Using Reinforcement Learning at a Signalized Intersection

open access: yesIET Intelligent Transport Systems
Existing studies on trajectory optimization for cooperative automated driving systems (C‐ADS) equipped vehicles at signalized intersections operate under a simplified assumption of cooperative behaviour: all vehicles accept and follow to the prescribed ...
Mengzhu Zhang   +3 more
doaj   +1 more source

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu   +11 more
wiley   +1 more source

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