@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} } @article{DeepHeldSundarRametal.2020, author = {Deep, Yoshana and Held, Patrick and Sundar Ram, Shobha and Steinhauser, Dagmar and Gupta, Anshu and Gruson, Frank and Koch, Andreas and Roy, Anirban}, title = {Radar cross-sections of pedestrians at automotive radar frequencies using ray tracing and point scatterer modelling}, volume = {14}, journal = {IET Radar, Sonar \& Navigation}, number = {6}, publisher = {IET}, address = {Stevenage}, issn = {1751-8792}, doi = {https://doi.org/10.1049/iet-rsn.2019.0471}, pages = {833 -- 844}, year = {2020}, language = {en} } @article{RienerJeon2019, author = {Riener, Andreas and Jeon, Myounghoon}, title = {Guest editors' introduction: multimodal technologies and interaction in the era of automated driving}, volume = {3}, pages = {41}, journal = {Multimodal Technologies and Interaction}, number = {2}, publisher = {MDPI}, address = {Basel}, issn = {2414-4088}, doi = {https://doi.org/10.3390/mti3020041}, year = {2019}, language = {en} } @article{RienerMirnig2019, author = {Riener, Andreas and Mirnig, Alexander G.}, title = {Guest Editors Introduction to the Special Issue "User-Centered Design for Automated Vehicles: HMIs, User Needs, and Preferences"}, volume = {18}, journal = {i-com: Journal of Interactive Media}, number = {2}, publisher = {De Gruyter}, address = {Berlin}, issn = {2196-6826}, doi = {https://doi.org/10.1515/icom-2019-0014}, pages = {101 -- 103}, year = {2019}, language = {en} } @article{BrandmeierFacchiKucseraetal.2012, author = {Brandmeier, Thomas and Facchi, Christian and Kucsera, Anja and Lauerer, Christian and Overbeck, Georg}, title = {Richtungsweisende Forschungskonzepte an der Hochschule Ingolstadt}, volume = {2012}, journal = {Die Neue Hochschule}, number = {1}, publisher = {Hochschullehrerbund hlb}, address = {Bonn}, url = {https://www.hlb.de/fileadmin/hlb-global/downloads/dnh/full/2012/DNH_2012_1.pdf}, pages = {14 -- 17}, year = {2012}, language = {de} } @article{FothenBoehmPaula2020, author = {Fothen, Christoph and B{\"o}hm, Klaus and Paula, Daniel}, title = {Kann die Verwendung digitaler Fahrzeugdaten zur Rekonstruktion von Verkehrsunf{\"a}llen unterhalb der Schwelle schwerster Unfallereignisse verh{\"a}ltnism{\"a}ßig sein?}, volume = {33}, journal = {NZV: Neue Zeitschrift f{\"u}r Verkehrsrecht}, number = {6}, publisher = {Beck}, address = {M{\"u}nchen}, issn = {0934-1307}, url = {https://beck-online.beck.de/Bcid/Y-300-Z-NZV-B-2020-S-284-N-1}, pages = {284 -- 289}, year = {2020}, language = {en} } @article{WintersbergerSchartmuellerRiener2019, author = {Wintersberger, Philipp and Schartm{\"u}ller, Clemens and Riener, Andreas}, title = {Attentive user interfaces to improve multitasking and take-over performance in automated driving}, volume = {11}, pages = {3}, journal = {International Journal of Mobile Human Computer Interaction (IJMHCI)}, subtitle = {the auto-net of things}, number = {3}, publisher = {IGI Global}, address = {Hershey}, issn = {1942-390X}, doi = {https://doi.org/10.4018/IJMHCI.2019070103}, year = {2019}, language = {en} } @article{HungZhangFestagetal.2019, author = {Hung, Shao-Chou and Zhang, Xin and Festag, Andreas and Chen, Kwang-Cheng and Fettweis, Gerhard}, title = {Vehicle-Centric Network Association in Heterogeneous Vehicle-to-Vehicle Networks}, volume = {68}, journal = {IEEE Transactions on Vehicular Technology}, number = {6}, publisher = {IEEE}, address = {New York}, issn = {1939-9359}, doi = {https://doi.org/10.1109/TVT.2019.2910324}, pages = {5981 -- 5996}, year = {2019}, language = {en} } @article{HegdeFestag2019, author = {Hegde, Anupama and Festag, Andreas}, title = {Mode Switching Strategies in Cellular-V2X}, volume = {52}, journal = {IFAC-PapersOnLine}, number = {8}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2405-8963}, doi = {https://doi.org/10.1016/j.ifacol.2019.08.052}, pages = {81 -- 86}, year = {2019}, language = {en} } @article{KuehlmorgenLuFestagetal.2019, author = {K{\"u}hlmorgen, Sebastian and Lu, Hongsheng and Festag, Andreas and Kenney, John and Gemsheim, Sebastian and Fettweis, Gerhard}, title = {Evaluation of Congestion-Enabled Forwarding With Mixed Data Traffic in Vehicular Communications}, volume = {21}, journal = {IEEE Transactions on Intelligent Transportation Systems}, number = {1}, publisher = {IEEE}, address = {New York}, issn = {1558-0016}, doi = {https://doi.org/10.1109/TITS.2018.2890619}, pages = {233 -- 247}, year = {2019}, language = {en} }