These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

168 related articles for article (PubMed ID: 36560362)

  • 1. Driver Take-Over Behaviour Study Based on Gaze Focalization and Vehicle Data in CARLA Simulator.
    Araluce J; Bergasa LM; Ocaña M; López-Guillén E; Gutiérrez-Moreno R; Arango JF
    Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36560362
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Gaze Focalization System for Driving Applications Using OpenFace 2.0 Toolkit with NARMAX Algorithm in Accidental Scenarios.
    Araluce J; Bergasa LM; Ocaña M; López-Guillén E; Revenga PA; Arango JF; Pérez O
    Sensors (Basel); 2021 Sep; 21(18):. PubMed ID: 34577469
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Get Ready for Take-Overs: Using Head-Up Display for Drivers to Engage in Non-Driving-Related Tasks in Automated Vehicles.
    Li X; Schroeter R; Rakotonirainy A; Kuo J; Lenné MG
    Hum Factors; 2023 Dec; 65(8):1759-1775. PubMed ID: 34865560
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Drivers' gaze patterns when resuming control with a head-up-display: Effects of automation level and time budget.
    Xu C; Louw TL; Merat N; Li P; Hu M; Li Y
    Accid Anal Prev; 2023 Feb; 180():106905. PubMed ID: 36508949
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Effective cues for accelerating young drivers' time to transfer control following a period of conditional automation.
    Wright TJ; Agrawal R; Samuel S; Wang Y; Zilberstein S; Fisher DL
    Accid Anal Prev; 2018 Jul; 116():14-20. PubMed ID: 29031513
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Evaluation of Imminent Take-Over Requests With Real Automation on a Test Track.
    Wintersberger P; Schartmüller C; Sadeghian S; Frison AK; Riener A
    Hum Factors; 2023 Dec; 65(8):1776-1792. PubMed ID: 34911393
    [TBL] [Abstract][Full Text] [Related]  

  • 7. From partial and high automation to manual driving: Relationship between non-driving related tasks, drowsiness and take-over performance.
    Naujoks F; Höfling S; Purucker C; Zeeb K
    Accid Anal Prev; 2018 Dec; 121():28-42. PubMed ID: 30205284
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Driver-initiated take-overs during critical braking maneuvers in automated driving - The role of time headway, traction usage, and trust in automation.
    Becker S; Brandenburg S; Thüring M
    Accid Anal Prev; 2022 Sep; 174():106725. PubMed ID: 35878555
    [TBL] [Abstract][Full Text] [Related]  

  • 9. What determines the take-over time? An integrated model approach of driver take-over after automated driving.
    Zeeb K; Buchner A; Schrauf M
    Accid Anal Prev; 2015 May; 78():212-221. PubMed ID: 25794922
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Task Interruption and Control Recovery Strategies After Take-Over Requests Emphasize Need for Measures of Situation Awareness.
    Vogelpohl T; Gehlmann F; Vollrath M
    Hum Factors; 2020 Nov; 62(7):1190-1211. PubMed ID: 31403839
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Keeping the driver in the loop through semi-automated or manual lane changes in conditionally automated driving.
    Dillmann J; den Hartigh RJR; Kurpiers CM; Pelzer J; Raisch FK; Cox RFA; de Waard D
    Accid Anal Prev; 2021 Nov; 162():106397. PubMed ID: 34563644
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Silent failure detection in partial automation as a function of visual attentiveness.
    Schwarz C; Gaspar J; Carney C; Gunaratne P
    Traffic Inj Prev; 2023; 24(sup1):S88-S93. PubMed ID: 37267000
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Improvement of driver active interventions during automated driving by displaying trajectory pointers-A driving simulator study.
    Ono S; Sasaki H; Kumon H; Fuwamoto Y; Kondo S; Narumi T; Tanikawa T; Hirose M
    Traffic Inj Prev; 2019; 20(sup1):S152-S156. PubMed ID: 31381449
    [No Abstract]   [Full Text] [Related]  

  • 14. A user study of directional tactile and auditory user interfaces for take-over requests in conditionally automated vehicles.
    Gruden T; Tomažič S; Sodnik J; Jakus G
    Accid Anal Prev; 2022 Sep; 174():106766. PubMed ID: 35785713
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Impact of non-driving related tasks while operating automated driving systems (ADS): A systematic review.
    Hungund AP; Kumar Pradhan A
    Accid Anal Prev; 2023 Aug; 188():107076. PubMed ID: 37150132
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Supervising the self-driving car: Situation awareness and fatigue during highly automated driving.
    McKerral A; Pammer K; Gauld C
    Accid Anal Prev; 2023 Jul; 187():107068. PubMed ID: 37075544
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Understanding take-over performance of high crash risk drivers during conditionally automated driving.
    Lin Q; Li S; Ma X; Lu G
    Accid Anal Prev; 2020 Aug; 143():105543. PubMed ID: 32485431
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Psychophysiological responses to takeover requests in conditionally automated driving.
    Du N; Yang XJ; Zhou F
    Accid Anal Prev; 2020 Dec; 148():105804. PubMed ID: 33128991
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Effects of non-driving related tasks on readiness to take over control in conditionally automated driving.
    Lin QF; Lyu Y; Zhang KF; Ma XW
    Traffic Inj Prev; 2021; 22(8):629-633. PubMed ID: 34495787
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The effect of motor control requirements on drivers' eye-gaze pattern during automated driving.
    Goncalves RC; Louw TL; Quaresma M; Madigan R; Merat N
    Accid Anal Prev; 2020 Dec; 148():105788. PubMed ID: 33039820
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.