TY - CHAP A1 - Riener, Andreas A1 - Jeon, Myounghoon A1 - Alvarez, Ignacio A1 - Pfleging, Bastian A1 - Mirnig, Alexander G. A1 - Tscheligi, Manfred A1 - Chuang, Lewis T1 - 1st Workshop on Ethically Inspired User Interfaces for Automated Driving T2 - AutomotiveUI 2016, 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Adjunct Proceedings UR - https://doi.org/10.1145/3004323.3005687 KW - Automated Driving KW - Asimov´s laws KW - Trolley problem KW - Driver-vehicle interfaces KW - User acceptance and trust KW - Desicion making KW - Negotiation algorithms Y1 - 2016 UR - https://doi.org/10.1145/3004323.3005687 SN - 978-1-4503-4654-2 SP - 217 EP - 220 PB - ACM CY - New York ER - TY - CHAP A1 - Frison, Anna-Katharina A1 - Riener, Andreas A1 - Jeon, Myounghoon A1 - Pfleging, Bastian A1 - Alvarez, Ignacio T1 - Workshop on Designing Highly Automated Driving Systems as Radical Innovation T2 - Adjunct Proceedings: 10th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications UR - https://doi.org/10.1145/3239092.3239097 KW - automated driving systems KW - SAE J3016 KW - Innovation KW - Design Thinking KW - User-Centered Design Y1 - 2018 UR - https://doi.org/10.1145/3239092.3239097 SN - 978-1-4503-5947-4 SP - 37 EP - 43 PB - ACM CY - New York ER - TY - CHAP A1 - Frison, Anna-Katharina A1 - Pfleging, Bastian A1 - Riener, Andreas A1 - Jeon, Myounghoon A1 - Alvarez, Ignacio A1 - Ju, Wendy T1 - Workshop on User-Centered Design for Automated Driving Systems T2 - Adjunct Proceedings: The 9th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications UR - https://doi.org/10.1145/3131726.3131734 KW - Automotive user interfaces KW - Automated Driving systems KW - User-centered design Y1 - 2017 UR - https://doi.org/10.1145/3131726.3131734 SN - 978-1-4503-5151-5 SP - 22 EP - 27 PB - ACM CY - New York ER - TY - CHAP A1 - Böhmländer, Dennis A1 - Hasirlioglu, Sinan A1 - Yano, Vitor A1 - Lauerer, Christian A1 - Brandmeier, Thomas A1 - Zimmer, Alessandro T1 - Advantages in Crash Severity Prediction Using Vehicle to Vehicle Communication T2 - Proceedings: 2015 45th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops UR - https://doi.org/10.1109/DSN-W.2015.23 Y1 - 2015 UR - https://doi.org/10.1109/DSN-W.2015.23 SN - 978-1-4673-8044-7 SP - 112 EP - 117 PB - IEEE CY - Los Alamitos ER - TY - CHAP A1 - Vriesman, Daniel A1 - Britto Junior, Alceu A1 - Zimmer, Alessandro A1 - Koerich, Alessandro Lameiras T1 - Texture CNN for thermoelectric metal pipe image classification T2 - 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI) UR - https://doi.org/10.1109/ICTAI.2019.00085 KW - automatic inspection KW - Convolution Neural Networks KW - deep learning KW - visual inspection KW - texture Y1 - 2020 UR - https://doi.org/10.1109/ICTAI.2019.00085 SN - 978-1-7281-3798-8 SP - 569 EP - 574 PB - IEEE CY - Piscataway ER - TY - JOUR A1 - Vriesman, Daniel A1 - Britto Junior, Alceu A1 - Zimmer, Alessandro A1 - Koerich, Alessandro Lameiras A1 - Paludo, Rodrigo T1 - Automatic visual inspection of thermoelectric metal pipes JF - Signal, Image and Video Processing UR - https://doi.org/10.1007/s11760-019-01435-2 KW - visual inspection KW - texture KW - fusion of features KW - automatic inspection Y1 - 2019 UR - https://doi.org/10.1007/s11760-019-01435-2 SN - 1863-1711 N1 - Access provided by Nationallizenz Ebooks Medicine VL - 13 IS - 5 SP - 975 EP - 983 PB - Springer CY - London ER - TY - CHAP A1 - Lopes da Silva, Joed A1 - Tabata, Alan Naoto A1 - Cardoso Broto, Lucas A1 - Pereira Cocron, Marta A1 - Zimmer, Alessandro A1 - Brandmeier, Thomas ED - Campilho, Aurélio ED - Karray, Fakhri ED - Wang, Zhou T1 - Open Source Multipurpose Multimedia Annotation Tool T2 - Image Analysis and Recognition: 17th International Conference, ICIAR 2020, Proceedings, Part I UR - https://doi.org/10.1007/978-3-030-50347-5_31 KW - open source KW - video annotation KW - multipurpose KW - generic annotation Y1 - 2020 UR - https://doi.org/10.1007/978-3-030-50347-5_31 SN - 978-3-030-50346-8 SN - 978-3-030-50347-5 SN - 0302-9743 SN - 1611-3349 SP - 356 EP - 367 PB - Springer CY - Cham ER - TY - JOUR A1 - Kundinger, Thomas A1 - Sofra, Nikoletta A1 - Riener, Andreas T1 - Assessment of the Potential of Wrist-Worn Wearable Sensors for Driver Drowsiness Detection JF - Sensors N2 - Drowsy driving imposes a high safety risk. Current systems often use driving behavior parameters for driver drowsiness detection. The continuous driving automation reduces the availability of these parameters, therefore reducing the scope of such methods. Especially, techniques that include physiological measurements seem to be a promising alternative. However, in a dynamic environment such as driving, only non- or minimal intrusive methods are accepted, and vibrations from the roadbed could lead to degraded sensor technology. This work contributes to driver drowsiness detection with a machine learning approach applied solely to physiological data collected from a non-intrusive retrofittable system in the form of a wrist-worn wearable sensor. To check accuracy and feasibility, results are compared with reference data from a medical-grade ECG device. A user study with 30 participants in a high-fidelity driving simulator was conducted. Several machine learning algorithms for binary classification were applied in user-dependent and independent tests. Results provide evidence that the non-intrusive setting achieves a similar accuracy as compared to the medical-grade device, and high accuracies (>92%) could be achieved, especially in a user-dependent scenario. The proposed approach offers new possibilities for human–machine interaction in a car and especially for driver state monitoring in the field of automated driving. UR - https://doi.org/10.3390/s20041029 KW - drowsiness detection KW - driver state KW - simulator study KW - physiological measures KW - machine learning KW - wearable sensors KW - automated driving Y1 - 2020 UR - https://doi.org/10.3390/s20041029 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-9506 SN - 1424-8220 VL - 20 IS - 4 PB - MDPI CY - Basel ER - TY - CHAP A1 - Kundinger, Thomas A1 - Riener, Andreas A1 - Sofra, Nikoletta A1 - Weigl, Klemens T1 - Drowsiness Detection and Warning in Manual and Automated Driving: Results from Subjective Evaluation T2 - Proceedings: 10th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications UR - https://doi.org/10.1145/3239060.3239073 KW - Automated Driving KW - driver drowsiness detection KW - driver state KW - simulator study KW - Subjective methods Y1 - 2018 UR - https://doi.org/10.1145/3239060.3239073 SN - 978-1-4503-5946-7 SP - 229 EP - 236 PB - ACM CY - New York ER - TY - CHAP A1 - Kundinger, Thomas A1 - Riener, Andreas A1 - Sofra, Nikoletta ED - Burghardt, Manuel ED - Wimmer, Raphael ED - Wolff, Christian ED - Womser-Hacker, Christa T1 - A Robust Drowsiness Detection Method based on Vehicle and Driver Vital Data T2 - Mensch und Computer 2017 - Workshopband UR - https://doi.org/10.18420/muc2017-ws09-0307 Y1 - 2017 UR - https://doi.org/10.18420/muc2017-ws09-0307 SP - 433 EP - 440 PB - Gesellschaft für Informatik CY - Regensburg ER - TY - CHAP A1 - Kruber, Friedrich A1 - Wurst, Jonas A1 - Botsch, Michael T1 - An Unsupervised Random Forest Clustering Technique for Automatic Traffic Scenario Categorization T2 - 2018 IEEE Intelligent Transportation Systems Conference UR - https://doi.org/10.1109/ITSC.2018.8569682 Y1 - 2018 UR - https://doi.org/10.1109/ITSC.2018.8569682 SN - 978-1-7281-0323-5 SP - 2811 EP - 2818 PB - IEEE CY - Piscataway ER -