1. Quentin Massoz. Non-invasive, automatic, and real-time characterization of drowsiness based on eye closure dynamics. PhD thesis, University of Liège, Belgium, April 2019. Keyword(s): Drowsiness, Driver monitoring, Face, Eye closure, Pyschomotor vigilance test, Reaction time, CNN, Deep learning. [bibtex-entry]

1. Anastasia Zakharova, Thierry Bouwmans, Anthony Cioppa, Adrien Deliège, Antonio Greco, Anaïs Halin, Kamil Jeziorek, Meghna Kapoor, Tomasz Kryjak, Islam Osman, Sébastien Piérard, Carlo Sansone, Mohamed S. Shehata, Renaud Vandeghen, Marc Van Droogenbroeck, and Bruno Vento. Event Detection in Videos: A Framework for the Development of New Methods. arXiv, abs/2607.04372, 2026. Keyword(s): Video, Video understanding, Event, Detection, Monitoring, SUC, Synthetic Urban Crossroads dataset, Dataset, Scenario, Performance, Evaluation, Tile, Summarization, F1, Precision, Recall, Hardware. [bibtex-entry]



2. Quentin Guidosse, Johanna Breyne, Anthony Cioppa, Kevin Maréchal, Ulysse Rubens, Marc Van Droogenbroeck, and Marc Dufrêne. Combining camera traps and artificial intelligence for monitoring visitor frequencies in natural areas: Lessons from a case study in the Belgian Ardenne. Journal of Outdoor Recreation and Tourism, 49:1-16, March 2025. Keyword(s): Camera, Trap, Artificial Intelligence, Tourism, Belgian Ardenne. [bibtex-entry]



3. Anaïs Halin, Jacques G. Verly, and Marc Van Droogenbroeck. Survey and synthesis of state of the art in driver monitoring. Sensors, 21(16):1-49, August 2021. Keyword(s): Driver monitoring, Driver state, Survey, Sensor, Indicator, Drowsiness, Mental workload, Distraction, Emotion, Under the influence. [bibtex-entry]



4. Quentin Massoz, Jacques Verly, and Marc Van Droogenbroeck. Multi-timescale drowsiness characterization based on a video of a driver's face. Sensors, 18(9):1-17, August 2018. Keyword(s): Drowsiness, Driver monitoring, Face, Eye closure, Pyschomotor vigilance test, Reaction time, CNN, Deep learning. [bibtex-entry]



5. Philippe Latour and Marc Van Droogenbroeck. The LNQ25 and ELN PVT Metrics Exhibit a Good Sensitivity to Sleep Deprivation and are Independent from the Subject. Sleep Medicine, 40:178-179, December 2017. Keyword(s): PVT metrics, Metrics, Drowsiness, Automatic alertness monitoring, Fatigue management. [bibtex-entry]

1. Anaïs Halin, Marc Van Droogenbroeck, and Christel Devue. Effects of Cognitive Distraction and Driving Environment Complexity on Adaptive Cruise Control Use and its Impact on Driving Performance: A Simulator Study. In International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI), Brisbane, Australia, pages 231-241, September 2025. ACM. Keyword(s): Simulator study, Adaptive automation, Driving automation, Adaptive cruise control, Driver state, Cognitive distraction, Driving environment complexity, Traffic conditions, Driver monitoring, Human study. [bibtex-entry]

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