@inproceedings{RienerJeonAlvarezetal.2016, author = {Riener, Andreas and Jeon, Myounghoon and Alvarez, Ignacio and Pfleging, Bastian and Mirnig, Alexander G. and Tscheligi, Manfred and Chuang, Lewis}, title = {1st Workshop on Ethically Inspired User Interfaces for Automated Driving}, booktitle = {AutomotiveUI 2016, 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Adjunct Proceedings}, publisher = {ACM}, address = {New York}, isbn = {978-1-4503-4654-2}, doi = {https://doi.org/10.1145/3004323.3005687}, pages = {217 -- 220}, year = {2016}, language = {en} } @inproceedings{FrisonRienerJeonetal.2018, author = {Frison, Anna-Katharina and Riener, Andreas and Jeon, Myounghoon and Pfleging, Bastian and Alvarez, Ignacio}, title = {Workshop on Designing Highly Automated Driving Systems as Radical Innovation}, booktitle = {Adjunct Proceedings: 10th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications}, publisher = {ACM}, address = {New York}, isbn = {978-1-4503-5947-4}, doi = {https://doi.org/10.1145/3239092.3239097}, pages = {37 -- 43}, year = {2018}, language = {en} } @inproceedings{FrisonPflegingRieneretal.2017, author = {Frison, Anna-Katharina and Pfleging, Bastian and Riener, Andreas and Jeon, Myounghoon and Alvarez, Ignacio and Ju, Wendy}, title = {Workshop on User-Centered Design for Automated Driving Systems}, booktitle = {Adjunct Proceedings: The 9th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications}, publisher = {ACM}, address = {New York}, isbn = {978-1-4503-5151-5}, doi = {https://doi.org/10.1145/3131726.3131734}, pages = {22 -- 27}, year = {2017}, language = {en} } @inproceedings{BoehmlaenderHasirliogluYanoetal.2015, author = {B{\"o}hml{\"a}nder, Dennis and Hasirlioglu, Sinan and Yano, Vitor and Lauerer, Christian and Brandmeier, Thomas and Zimmer, Alessandro}, title = {Advantages in Crash Severity Prediction Using Vehicle to Vehicle Communication}, booktitle = {Proceedings: 2015 45th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops}, publisher = {IEEE}, address = {Los Alamitos}, isbn = {978-1-4673-8044-7}, doi = {https://doi.org/10.1109/DSN-W.2015.23}, pages = {112 -- 117}, year = {2015}, language = {en} } @inproceedings{VriesmanBrittoJuniorZimmeretal.2020, author = {Vriesman, Daniel and Britto Junior, Alceu and Zimmer, Alessandro and Koerich, Alessandro Lameiras}, title = {Texture CNN for thermoelectric metal pipe image classification}, booktitle = {2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-3798-8}, doi = {https://doi.org/10.1109/ICTAI.2019.00085}, pages = {569 -- 574}, year = {2020}, language = {en} } @article{VriesmanBrittoJuniorZimmeretal.2019, author = {Vriesman, Daniel and Britto Junior, Alceu and Zimmer, Alessandro and Koerich, Alessandro Lameiras and Paludo, Rodrigo}, title = {Automatic visual inspection of thermoelectric metal pipes}, volume = {13}, journal = {Signal, Image and Video Processing}, number = {5}, publisher = {Springer}, address = {London}, issn = {1863-1711}, doi = {https://doi.org/10.1007/s11760-019-01435-2}, pages = {975 -- 983}, year = {2019}, language = {en} } @inproceedings{LopesdaSilvaTabataCardosoBrotoetal.2020, author = {Lopes da Silva, Joed and Tabata, Alan Naoto and Cardoso Broto, Lucas and Pereira Cocron, Marta and Zimmer, Alessandro and Brandmeier, Thomas}, title = {Open Source Multipurpose Multimedia Annotation Tool}, booktitle = {Image Analysis and Recognition: 17th International Conference, ICIAR 2020, Proceedings, Part I}, editor = {Campilho, Aur{\´e}lio and Karray, Fakhri and Wang, Zhou}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-50346-8}, issn = {0302-9743}, doi = {https://doi.org/10.1007/978-3-030-50347-5_31}, pages = {356 -- 367}, year = {2020}, language = {en} } @article{KundingerSofraRiener2020, author = {Kundinger, Thomas and Sofra, Nikoletta and Riener, Andreas}, title = {Assessment of the Potential of Wrist-Worn Wearable Sensors for Driver Drowsiness Detection}, volume = {20}, pages = {1029}, journal = {Sensors}, number = {4}, publisher = {MDPI}, address = {Basel}, issn = {1424-8220}, doi = {https://doi.org/10.3390/s20041029}, year = {2020}, abstract = {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.}, language = {en} } @unpublished{KruberWurstBotsch2020, author = {Kruber, Friedrich and Wurst, Jonas and Botsch, Michael}, title = {An Unsupervised Random Forest Clustering Technique for Automatic Traffic Scenario Categorization}, publisher = {arXiv}, address = {Ithaca}, doi = {https://doi.org/10.48550/arXiv.2004.02121}, year = {2020}, language = {en} } @inproceedings{KundingerRienerSofraetal.2018, author = {Kundinger, Thomas and Riener, Andreas and Sofra, Nikoletta and Weigl, Klemens}, title = {Drowsiness Detection and Warning in Manual and Automated Driving: Results from Subjective Evaluation}, booktitle = {Proceedings: 10th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications}, publisher = {ACM}, address = {New York}, isbn = {978-1-4503-5946-7}, doi = {https://doi.org/10.1145/3239060.3239073}, pages = {229 -- 236}, year = {2018}, language = {en} } @inproceedings{RienerGeislerPflegingetal.2019, author = {Riener, Andreas and Geisler, Stefan and Pfleging, Bastian and von Sawitzky, Tamara and Detjen, Henrik}, title = {8th Workshop Automotive HMIs: UI Research in the Age of New Digital Realities}, booktitle = {Mensch und Computer 2019 - Workshopband}, publisher = {Gesellschaft f{\"u}r Informatik}, address = {Bonn}, doi = {https://doi.org/10.18420/muc2019-ws-282}, pages = {397 -- 399}, year = {2019}, language = {en} }