Results 11 to 20 of about 328,763 (284)
Highly Automated Driving, Secondary Task Performance, and Driver State [PDF]
Human Factors: The Journal of the Human Factors and Ergonomics Society, 2012 Objective: a driving simulator study compared the effect of changes in workload on performance in manual and highly automated driving. Changes in driver state were also observed by examining variations in blink patterns.
Carsten, O +3 more
core +5 more sources
Sleep Inertia Countermeasures in Automated Driving: A Concept of Cognitive Stimulation
Information, 2020 When highly automated driving is realized, the role of the driver will change dramatically. Drivers will even be able to sleep during the drive. However, when awaking from sleep, drivers often experience sleep inertia, meaning they are feeling groggy and
Johanna Wörle +6 more
doaj +1 more source
Information, 2020 During highly automated driving, the passenger is allowed to conduct non-driving related activities (NDRA) and no longer has to act as a fallback at the functional limits of the driving automation system.
Alexander Feierle +3 more
doaj +1 more source
Frontiers in Future Transportation, 2021 Driving automation has become a trending topic over the past decade, as recent technical and technological improvements have created hope for a possible short-term release of partially automated vehicles. Several research teams have been exploring driver
Marie Jaussein +5 more
doaj +1 more source
IEEE Open Journal of Intelligent Transportation Systems, 2022 Lane change is a highly demanding driving task. A number of traffic accidents are induced by erroneous maneuvers. An automated lane-change system has the potential to reduce the driver workload and improve driving safety.
Zheng Wang +6 more
doaj +1 more source
Using Fnirs to Verify Trust in Highly Automated Driving
SSRN Electronic Journal, 2022 Trust in automation is crucial for the safe and appropriate adoption of automated driving technology. Current research methods to measure trust mainly rely on subjective scales, with several intrinsic limitations. This empirical experiment proposes a novel method to measure trust objectively, using functional near-infrared spectroscopy (fNIRS). Through
Jaume R. Perello-March +4 more
openaire +3 more sources
Convolutional Neural Network-Based Robot Navigation Using Uncalibrated Spherical Images
Sensors, 2017 Vision-based mobile robot navigation is a vibrant area of research with numerous algorithms having been developed, the vast majority of which either belong to the scene-oriented simultaneous localization and mapping (SLAM) or fall into the category of ...
Lingyan Ran +3 more
doaj +1 more source
Доклады Белорусского государственного университета информатики и радиоэлектроники, 2020 The analysis of trends in the development of the automotive industry and well-known methods of automating vehicle control served the basis for us to propose an approach to organizing the transfer of vehicle control from an automated driving system to a ...
V. A. Dubovsky, V. V. Savchenko
doaj +1 more source
MethodsX, 2022 The presented method describes a standardized test procedure for the evaluation of takeover performance of drivers during automated driving. It was primarily developed to be used for evaluating Level 3 systems (conditional automated driving).
Nadja Schömig +4 more
doaj +1 more source
Physiological Measures of Risk Perception in Highly Automated Driving [PDF]
IEEE Transactions on Intelligent Transportation Systems, 2022 Highly automated driving will likely result in drivers being out-of-the-loop during specific scenarios and engaging in a wide range of non-driving related tasks. Manifesting in lower levels of risk perception to emerging events, and thus affect drivers’ availability to take-over manual control in safety-critical scenarios.
Jaume R. Perello-March +4 more
openaire +2 more sources