TY - JOUR A1 - Geisbauer, Christian A1 - Wöhrl, Katharina A1 - Mittmann, Christoph A1 - Schweiger, Hans-Georg T1 - Review of Safety Aspects of Calendar Aged Lithium Ion Batteries JF - Journal of the Electrochemical Society N2 - Nowadays, lithium ion batteries have found their place in a various field of portable applications. With the upcoming of electrically propelled vehicles, it is mandatory to guarantee a safe and predictable behavior during the whole lifetime and not only after manufacturing during performance tests. To gain a general overview of the abuse behavior, research on the topic of abusive tests on calendar-aged cells is being investigated, split up depending on the electrode composition and lined up against each other. It can be shown, that almost all abuse experiments have been performed with external heating tests in the past, still leaving research gaps that need to be filled. UR - https://doi.org/10.1149/1945-7111/ab89bf Y1 - 2020 UR - https://doi.org/10.1149/1945-7111/ab89bf UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-10183 SN - 1945-7111 VL - 167 IS - 9 PB - IOP Publishing CY - Bristol ER - TY - JOUR A1 - Böhm, Klaus A1 - Kubjatko, Tibor A1 - Paula, Daniel A1 - Schweiger, Hans-Georg T1 - New developments on EDR (Event Data Recorder) for automated vehicles JF - Open Engineering N2 - With the upcoming new legislative rules in the EU on Event Data Recorder beginning 2022 the question is whether the discussed data base is sufficient for the needs of clarifying accidents involving automated vehicles. Based on the reconstruction of real accidents including vehicles with ADAS combined with specially designed crash tests a broader data base than US EDR regulation (NHTSA 49 CFR Part 563.7) is proposed. The working group AHEAD, to which the authors contribute, has already elaborated a data model that fits the needs of automated driving. The structure of this data model is shown. Moreover, the special benefits of storing internal video or photo feeds form the vehicle camera systems combined with object data is illustrated. When using a sophisticate 3D measurement method of the accident scene the videos or photos can also serve as a control instance for the stored vehicle data. The AHEAD Data Model enhanced with the storage of the video and photo feeds should be considered in the planned roadmap of the Informal Working Group (IWG) on EDR/ DSSAD (Data Storage System for Automated Driving) reporting to UNECE WP29. Also, a data access over the air using technology already applied in China for electric vehicles called Real Time Monitoring would allow a quantum leap in forensic accident reconstruction. UR - https://doi.org/10.1515/eng-2020-0007 KW - Event Data Recorder (EDR) KW - automated vehicles KW - video and photo feeds KW - Real Time Monitoring (RTM) KW - AHEAD (Aggregated Homologation proposal for Event data recorder for Automated Driving) Y1 - 2020 UR - https://doi.org/10.1515/eng-2020-0007 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-9263 SN - 2391-5439 VL - 10 IS - 1 SP - 140 EP - 146 PB - De Gruyter CY - Berlin ER - TY - JOUR A1 - Steger, Fabian A1 - Nitsche, Alexander A1 - Arbesmeier, Alexander A1 - Brade, Katja A1 - Schweiger, Hans-Georg A1 - Belski, Iouri T1 - Teaching Battery Basics in Laboratories: Hands-On Versus Simulated Experiments JF - IEEE Transactions on Education N2 - Contribution: Prior studies comparing the effectiveness of different laboratory learning modes do not allow one to draw a universally valid conclusion, as other influences are mixed with the learning modes. In order to contribute to the existing body of work and to add another piece to the puzzle, this article demonstrates an improved methodology to evaluate the effectiveness of computer-simulated laboratories in comparison to hands-on exercises using a battery basics practical course as a case study. Background: Computer-simulated experiments are becoming increasingly popular for conducting laboratory exercises in higher education and vocational training institutions. To ensure the consistent quality of laboratory learning, an accurate comparison between the results of simulated experiments and practical hands-on experiments is required. Intended Outcomes: In this article, the achievement of the following learning objectives were compared between the two laboratory modes: 1) comprehension of the most important parameters of battery cells and 2) knowledge on how these parameters can be determined using adequate experimental procedures. Application Design: To avoid interference of factors other than laboratory mode on the learning, laboratory instructions and experimental interfaces ensured identical execution of the experiments in the compared modes. Using a counterbalanced methodology, the two laboratory modes alternated by the session, while the experimental procedures remained constant regardless of the respective modes. Findings: Tests taken by the participants after conducting the laboratory experiments revealed that hands-on laboratories resulted in statistically significantly better student performance than simulated laboratories. This difference was even more pronounced for the participants that finished a vocational education and training program before the university studies. UR - https://doi.org/10.1109/TE.2020.2970554 KW - battery KW - electrical engineering KW - energy storages KW - hands-on KW - knowledge gain KW - laboratory learning KW - simulation KW - student experience Y1 - 2020 UR - https://doi.org/10.1109/TE.2020.2970554 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-9517 SN - 1557-9638 VL - 63 IS - 3 SP - 198 EP - 208 PB - IEEE CY - Piscataway ER - TY - JOUR A1 - Kim, Woong-Ki A1 - Steger, Fabian A1 - Kotak, Bhavya A1 - Knudsen, Peter V. R. A1 - Girgsdies, Uwe A1 - Schweiger, Hans-Georg T1 - Water Condensation in Traction Battery Systems JF - Energies N2 - Lithium-ion traction battery systems of hybrid and electric vehicles must have a high level of durability and reliability like all other components and systems of a vehicle. Battery systems get heated while in the application. To ensure the desired life span and performance, most systems are equipped with a cooling system. The changing environmental condition in daily use may cause water condensation in the housing of the battery system. In this study, three system designs were investigated, to compare different solutions to deal with pressure differences and condensation: (1) a sealed battery system, (2) an open system and (3) a battery system equipped with a pressure compensation element (PCE). These three designs were tested under two conditions: (a) in normal operation and (b) in a maximum humidity scenario. The amount of the condensation in the housing was determined through a change in relative humidity of air inside the housing. Through PCE and available spacing of the housing, moisture entered into the housing during the cooling process. While applying the test scenarios, the gradient-based drift of the moisture into the housing contributed maximum towards the condensation. Condensation occurred on the internal surface for all the three design variants. UR - https://doi.org/10.3390/en12061171 KW - traction battery system KW - condensation KW - durability test KW - pressure compensation element KW - behavior of an enclosed system Y1 - 2019 UR - https://doi.org/10.3390/en12061171 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-9560 SN - 1996-1073 VL - 12 IS - 6 PB - MDPI CY - Basel ER - TY - JOUR A1 - Notomista, Gennaro A1 - Botsch, Michael T1 - A Machine Learning Approach for the Segmentation of Driving Maneuvers and its Application in Autonomous Parking JF - Journal of Artificial Intelligence and Soft Computing Research (JAISCR) N2 - A classification system for the segmentation of driving maneuvers and its validation in autonomous parking using a small-scale vehicle are presented in this work. The classifiers are designed to detect points that are crucial for the path-planning task, thus enabling the implementation of efficient autonomous parking maneuvers. The training data set is generated by simulations using appropriate vehicle–dynamics models and the resulting classifiers are validated with the small-scale autonomous vehicle. To achieve both a high classification performance and a classification system that can be implemented on a microcontroller with limited computational resources, a two-stage design process is applied. In a first step an ensemble classifier, the Random Forest (RF) algorithm, is constructed and based on the RF-kernel a General Radial Basis Function (GRBF) classifier is generated. The GRBF-classifier is integrated into the small-scale autonomous vehicle leading to excellent performance in parallel-, cross- and oblique- parking maneuvers. The work shows that segmentation using classifies and open-loop control are an efficient approach in autonomous driving for the implementation of driving maneuvers. UR - https://doi.org/10.1515/jaiscr-2017-0017 KW - autonomous parking KW - ensemble learning KW - maneuver segmentation Y1 - 2017 UR - https://doi.org/10.1515/jaiscr-2017-0017 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-9604 SN - 2449-6499 VL - 7 IS - 4 SP - 243 EP - 255 PB - De Gruyter Open CY - Warschau ER - TY - JOUR A1 - Hasirlioglu, Sinan A1 - Riener, Andreas T1 - A General Approach for Simulating Rain Effects on Sensor Data in Real and Virtual Environments JF - IEEE Transactions on Intelligent Vehicles UR - https://doi.org/10.1109/TIV.2019.2960944 KW - Environmental perception KW - computer vision KW - sensors KW - simulation KW - adverse weather KW - automated vehicles Y1 - 2019 UR - https://doi.org/10.1109/TIV.2019.2960944 SN - 2379-8904 VL - 5 IS - 3 SP - 426 EP - 438 PB - IEEE CY - New York ER - TY - JOUR A1 - Riegler, Andreas A1 - Wintersberger, Philipp A1 - Riener, Andreas A1 - Holzmann, Clemens T1 - Augmented Reality Windshield Displays and Their Potential to Enhance User Experience in Automated Driving JF - i-com: Journal of Interactive Media UR - https://doi.org/10.1515/icom-2018-0033 KW - windshield displays KW - head-up displays KW - user preferences KW - automated driving KW - heatmaps Y1 - 2019 UR - https://doi.org/10.1515/icom-2018-0033 SN - 2196-6826 VL - 18 IS - 2 SP - 127 EP - 149 PB - De Gruyter CY - Berlin ER - TY - JOUR A1 - Sequeira, Gerald Joy A1 - Patel, Akshay A1 - Afraj, Shahabaz A1 - Lugner, Robert A1 - Brandmeier, Thomas T1 - FEM-based methodology for crash severity estimation in frontal crash scenarios JF - IOP Conference Series: Materials Science and Engineering N2 - With the technological development of forward-looking sensors, researchers are exploring their use not only for advanced driver assistance systems but also to gain important pre-crash information. Based on this pre-crash information, if the occupant motion inside the vehicle structure can be predicted for the oncoming crash scenario, then an optimal restraint strategy can be planned before the crash. This paper introduces a two-step FEM simulation based methodology for predicting the occupant severity in head-on crash scenarios. In the first step, we simulate the vehicle level model with different impact positions and relative approach angles. The results of these simulations, linear velocities in the longitudinal and lateral direction and angular velocities (roll, pitch, and yaw) during in-crash phase are the loading conditions for next simulation step (occupant level). This step simulates the motion of the driver in different crash scenarios. In this paper, we investigate the head, neck, and chest injury risks from vehicle-to-vehicle crash both traveling at 50 kilometers per hour. Prediction of the head injury criterion, identifying the cases where additional deployment of side-airbags and discussion of injury criteria with contour plots are the main outcome of this paper. UR - https://doi.org/10.1088/1757-899X/831/1/012019 Y1 - 2020 UR - https://doi.org/10.1088/1757-899X/831/1/012019 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-13159 SN - 1757-899X SN - 1757-8981 VL - 2020 IS - 831 PB - IOP CY - Bristol ER - TY - JOUR A1 - Weigl, Klemens A1 - Ponocny, Ivo T1 - Group sequential designs applied in psychological research JF - Methodology: European Journal of Research Methods for the Behavioral and Social Sciences N2 - Psychological research is confronted with ever-increasing demands to save resources such as time and money while assuring high ethical standards. In medical and pharmaceutical research, group sequential designs have fundamentally changed traditional statistical testing approaches featuring only one analysis at the end of a single-stage study. They enable early stopping at an interim stage, after a group of observations, for efficacy or futility in case of an overwhelmingly large or small effect, respectively. Otherwise, the trial is continued to the next stage. On average over many studies time and money are saved and more ethical trials are facilitated by diminishing the risk of patients' exposure to inferior treatments. We provide an easy-to-use tutorial for psychological research replete with easily understandable figures highlighting the core idea of different group sequential designs, a workflow chart, an empirical real-world data set, and the annotated R code. Finally, we demonstrate the application of early stopping for efficacy. UR - https://doi.org/10.5964/meth.2811 KW - group sequential designs KW - interim analyses KW - workflow chart KW - R Code KW - tutorial Y1 - 2020 UR - https://doi.org/10.5964/meth.2811 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-13190 SN - 1614-2241 VL - 16 IS - 1 SP - 75 EP - 91 PB - PsychOpen CY - Trier ER - TY - CHAP A1 - de Meer, Jan A1 - Waedt, Karl A1 - Rennoch, Axel A1 - Hof, Hans-Joachim T1 - 4th GI/ACM Workshop on standardization of I4.0 automation and control systems T2 - Lecture Notes in Informatics (LNI) - Proceedings UR - https://doi.org/10.18420/inf2019_ws27 Y1 - 2019 UR - https://doi.org/10.18420/inf2019_ws27 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-17752 SN - 978-3-88579-689-3 SN - 1617-5468 VL - 2019 IS - Volume P-295 SP - 241 EP - 242 PB - Gesellschaft für Informatik CY - Bonn ER - TY - CHAP A1 - Fritzsche, Richard A1 - Festag, Andreas T1 - Reliability Maximization with Location-Based Scheduling for Cellular-V2X Communications in Highway Scenarios T2 - 2018 16th International Conference on Intelligent Transportation Systems Telecommunications (ITST) Proceedings UR - https://doi.org/10.1109/ITST.2018.8566935 KW - Optimal scheduling KW - Power system reliability KW - Probability KW - Throughput KW - Reliability KW - Signal to noise ratio KW - Road transportation Y1 - 2018 UR - https://doi.org/10.1109/ITST.2018.8566935 SN - 978-1-5386-5544-3 PB - IEEE CY - Piscataway ER - 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 - INPR A1 - Kruber, Friedrich A1 - Wurst, Jonas A1 - Botsch, Michael T1 - An Unsupervised Random Forest Clustering Technique for Automatic Traffic Scenario Categorization UR - https://doi.org/10.48550/arXiv.2004.02121 Y1 - 2020 UR - https://doi.org/10.48550/arXiv.2004.02121 PB - arXiv CY - Ithaca 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 - Riener, Andreas A1 - Geisler, Stefan A1 - Pfleging, Bastian A1 - von Sawitzky, Tamara A1 - Detjen, Henrik T1 - 8th Workshop Automotive HMIs: UI Research in the Age of New Digital Realities T2 - Mensch und Computer 2019 - Workshopband UR - https://doi.org/10.18420/muc2019-ws-282 KW - user interfaces KW - automotive HMIs KW - automated driving KW - interaction concepts Y1 - 2019 UR - https://doi.org/10.18420/muc2019-ws-282 SP - 397 EP - 399 PB - Gesellschaft für Informatik CY - Bonn 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 - TY - JOUR A1 - Deep, Yoshana A1 - Held, Patrick A1 - Sundar Ram, Shobha A1 - Steinhauser, Dagmar A1 - Gupta, Anshu A1 - Gruson, Frank A1 - Koch, Andreas A1 - Roy, Anirban T1 - Radar cross-sections of pedestrians at automotive radar frequencies using ray tracing and point scatterer modelling JF - IET Radar, Sonar & Navigation UR - https://doi.org/10.1049/iet-rsn.2019.0471 Y1 - 2020 UR - https://doi.org/10.1049/iet-rsn.2019.0471 SN - 1751-8792 VL - 14 IS - 6 SP - 833 EP - 844 PB - IET CY - Stevenage ER - TY - CHAP A1 - Chaulwar, Amit A1 - Al-Hashimi, Hussein A1 - Botsch, Michael A1 - Utschick, Wolfgang T1 - Efficient hybrid machine learning algorithm for trajectory planning in critical traffic-scenarios T2 - The 4th International Conference on Intelligent Transportation Engineering, ICITE 2019 UR - https://doi.org/10.1109/ICITE.2019.8880266 KW - Trajectory Planning KW - Hybrid Machine Learning KW - Embedded Implementation Y1 - 2019 UR - https://doi.org/10.1109/ICITE.2019.8880266 SN - 978-1-7281-4553-2 SP - 196 EP - 202 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Sánchez Morales, Eduardo A1 - Botsch, Michael A1 - Huber, Bertold A1 - García Higuera, Andrés T1 - High precision indoor navigation for autonomous vehicles T2 - 2019 International Conference on Indoor Positioning and Indoor Navigation UR - https://doi.org/10.1109/IPIN.2019.8911780 KW - Sensors KW - Automobiles KW - State estimation KW - Autonomous vehicles KW - Testing KW - Receivers KW - Discrete Fourier transforms Y1 - 2019 UR - https://doi.org/10.1109/IPIN.2019.8911780 SN - 978-1-7281-1788-1 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Gallitz, Oliver A1 - de Candido, Oliver A1 - Botsch, Michael A1 - Utschick, Wolfgang T1 - Interpretable feature generation using deep neural networks and its application to lane change detection T2 - 2019 IEEE Intelligent Transportation Systems Conference (ITSC) UR - https://doi.org/10.1109/ITSC.2019.8917524 KW - Time series analysis KW - Kernel KW - Convolution KW - Feature extraction KW - Finite impulse response filters KW - Neural networks KW - Heating systems Y1 - 2019 UR - https://doi.org/10.1109/ITSC.2019.8917524 SN - 978-1-5386-7024-8 SP - 3405 EP - 3411 PB - IEEE CY - Piscataway ER - TY - JOUR A1 - Riener, Andreas A1 - Jeon, Myounghoon T1 - Guest editors’ introduction: multimodal technologies and interaction in the era of automated driving JF - Multimodal Technologies and Interaction UR - https://doi.org/10.3390/mti3020041 Y1 - 2019 UR - https://doi.org/10.3390/mti3020041 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-13339 SN - 2414-4088 VL - 3 IS - 2 PB - MDPI CY - Basel ER - TY - CHAP A1 - Biank, Sanjana A1 - Huber, Werner A1 - Meyer, Matthias A1 - Hof, Hans-Joachim A1 - Hempen, Thomas T1 - Model-based security and safety assurance for automotive safety systems BT - Extended Abstract T2 - Proceedings of 3. ACM Computer Science in Cars Symposium (CSCS 2019) KW - Model-based Testing KW - Security KW - Safety KW - Verification KW - Validation Y1 - 2019 UR - https://acm-cscs.org/_/2019/ UR - https://cscs19.cispa.saarland/ PB - ACM CY - New York ER - TY - CHAP A1 - Zaumseil, Patrick A1 - Steinhauser, Dagmar A1 - Held, Patrick A1 - Kamann, Alexander A1 - Brandmeier, Thomas T1 - Radar-based near field environment perception using back projection algorithm T2 - European Microwave Week 2019: "Universality Through Microwaves" Conference Proceedings KW - back projection approach KW - high resolution radar KW - perception Y1 - 2019 UR - https://ieeexplore.ieee.org/document/8904568 SN - 978-2-87487-057-6 SN - 978-2-87487-054-5 SP - 257 EP - 260 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Steinhauser, Dagmar A1 - Held, Patrick A1 - Kamann, Alexander A1 - Koch, Andreas A1 - Brandmeier, Thomas T1 - Micro-Doppler extraction of pedestrian limbs for high resolution automotive radar T2 - 2019 IEEE Intelligent Vehicles Symposium (IV) UR - https://doi.org/10.1109/IVS.2019.8813850 Y1 - 2019 UR - https://doi.org/10.1109/IVS.2019.8813850 SN - 978-1-7281-0560-4 SN - 2642-7214 SP - 764 EP - 769 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Hasirlioglu, Sinan A1 - Reway, Fabio A1 - Klingenberg, Tim A1 - Riener, Andreas A1 - Huber, Werner T1 - Raindrops on the Windshield: Performance Assessment of Camera-based Object Detection T2 - 2019 IEEE International Conference on Vehicular Electronics and Safety (ICVES) UR - https://doi.org/10.1109/ICVES.2019.8906344 Y1 - 2019 UR - https://doi.org/10.1109/ICVES.2019.8906344 SN - 978-1-7281-3473-4 PB - IEEE CY - Piscataway ER - TY - BOOK A1 - Tinnefeld, Marie-Theres A1 - Buchner, Benedikt A1 - Petri, Thomas A1 - Hof, Hans-Joachim T1 - Einführung in das Datenschutzrecht BT - Datenschutz und Informationsfreiheit in europäischer Sicht UR - https://doi.org/10.1515/9783110630336 KW - Europa KW - Deutschland KW - Datenschutz KW - Informationsfreiheit KW - Recht Y1 - 2019 UR - https://doi.org/10.1515/9783110630336 SN - 978-3-11-063031-2 SN - 978-3-11-063033-6 SN - 978-3-11-063045-9 PB - De Gruyter Oldenbourg CY - Berlin ET - 7., überarbeitete und aktualisierte Auflage ER - TY - CHAP A1 - Seifert, Georg A1 - Hempen, Thomas A1 - Huber, Werner T1 - Aufbau einer Mixed-Reality-Versuchsumgebung zur Absicherung autonomer Systeme T2 - Echtzeit 2019: Autonome Systeme - 50 Jahre PEARL UR - https://doi.org/10.1007/978-3-658-27808-3_5 Y1 - 2019 UR - https://doi.org/10.1007/978-3-658-27808-3_5 SN - 978-3-658-27808-3 SN - 978-3-658-27807-6 SP - 43 EP - 52 PB - Springer CY - Wiesbaden ER - TY - CHAP A1 - Boffi, Laura A1 - Wintersberger, Philipp A1 - Cesaretti, Paola A1 - Mincolelli, Guiseppe A1 - Riener, Andreas T1 - The first co-drive experience prototype T2 - Adjunct Proceedings: 11th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications UR - https://doi.org/10.1145/3349263.3351318 KW - automated driving KW - interaction design KW - experience prototyping KW - remote travel Y1 - 2019 UR - https://doi.org/10.1145/3349263.3351318 SN - 978-1-4503-6920-6 SP - 254 EP - 259 PB - ACM CY - New York ER - TY - JOUR A1 - Riener, Andreas A1 - Mirnig, Alexander G. 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A1 - Jumar, Ulrich T1 - Enhanced Inter-Vehicular relative positioning T2 - 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) UR - https://doi.org/10.1109/ITSC.2016.7795657 KW - vehicular ad hoc networks KW - intelligent transport system KW - satellite navigation system KW - positioning KW - real time kinematic KW - moving base Y1 - 2016 UR - https://doi.org/10.1109/ITSC.2016.7795657 SN - 978-1-5090-1889-5 SP - 867 EP - 872 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Zeindl, Markus A1 - Seitz, Markus A1 - Facchi, Christian T1 - Correlation of Change Size to Fault-Proneness: A Real Life Case Study T2 - 2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA): Proceedings UR - https://doi.org/10.1109/AICCSA.2016.7945799 KW - Measurement KW - Software KW - Correlation KW - Probability KW - Electronic mail KW - Agile software development KW - Control systems Y1 - 2017 UR - https://doi.org/10.1109/AICCSA.2016.7945799 SN - 978-1-5090-4320-0 SN - 2161-5330 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Günther, Hendrik-Jörn A1 - Riebl, Raphael A1 - Wolf, Lars A1 - Facchi, Christian ED - Altintas, Onur ED - Ekici, Eylem ED - Tsai, Michael ED - Sepulcre, Miguel ED - Bloessl, Bastian ED - Wei, Yu-Lin T1 - Collective perception and decentralized congestion control in vehicular ad-hoc networks T2 - 2016 IEEE Vehicular Networking Conference (VNC) UR - https://doi.org/10.1109/VNC.2016.7835931 KW - Collective Perception KW - Decentralized Congestion Control KW - ITS-G5 KW - VANET KW - V2X Y1 - 2017 UR - https://doi.org/10.1109/VNC.2016.7835931 SN - 978-1-5090-5197-7 SN - 2157-9865 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Obermaier, Christina A1 - Riebl, Raphael A1 - Facchi, Christian T1 - Dynamic scenario control for VANET simulations T2 - 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems: Proceedings UR - https://doi.org/10.1109/MTITS.2017.8005599 KW - Vehicular ad hoc networks KW - Vehicle dynamics KW - Arteries KW - Meteorology KW - Testing KW - Computational modeling KW - Safety Y1 - 2017 UR - https://doi.org/10.1109/MTITS.2017.8005599 SN - 978-1-5090-6484-7 SP - 681 EP - 686 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Obermaier, Christina A1 - Facchi, Christian T1 - Observations on OMNeT++ Real-Time Behaviour T2 - Proceedings of the 4th OMNeT++ Community Summit UR - https://doi.org/10.48550/arXiv.1709.02207 KW - vehicular ad hoc network KW - simulation KW - hardware in the Loop Y1 - 2017 UR - https://doi.org/10.48550/arXiv.1709.02207 PB - arXiv CY - Ithaca ER - TY - CHAP A1 - Frison, Anna-Katharina A1 - Wintersberger, Philipp A1 - Liu, Tianjia A1 - Riener, Andreas T1 - Why do you like to drive automated?: a context-dependent analysis of highly automated driving to elaborate requirements for intelligent user interfaces T2 - Proceedings of IUI 2019 UR - https://doi.org/10.1145/3301275.3302331 KW - automated driving KW - automated vehicles KW - user experience KW - user acceptance KW - SAE J3016 KW - ISO 9241-11 Y1 - 2019 UR - https://doi.org/10.1145/3301275.3302331 SN - 978-1-4503-6272-6 SP - 528 EP - 537 PB - ACM CY - New York ER - TY - CHAP A1 - Wintersberger, Philipp A1 - Dmitrenko, Dmitrijs A1 - Schartmüller, Clemens A1 - Frison, Anna-Katharina A1 - Maggioni, Emanuela A1 - Obrist, Marianna A1 - Riener, Andreas T1 - S(C)ENTINEL: monitoring automated vehicles with olfactory reliability displays T2 - Proceedings of IUI 2019 UR - https://doi.org/10.1145/3301275.3302332 KW - automated driving KW - olfactory KW - reliability KW - SAE J3016 KW - human factors KW - trust Y1 - 2019 UR - https://doi.org/10.1145/3301275.3302332 SN - 978-1-4503-6272-6 SP - 538 EP - 546 PB - ACM CY - New York ER - TY - CHAP A1 - Kundinger, Thomas A1 - Wintersberger, Philipp A1 - Riener, Andreas T1 - (Over)Trust in Automated Driving: The Sleeping Pill of Tomorrow? T2 - CHI'19 Extended Abstracts: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems UR - https://doi.org/10.1145/3290607.3312869 KW - automated driving KW - driver drowsiness KW - trust KW - driver state KW - user study KW - subjective measures Y1 - 2019 UR - https://doi.org/10.1145/3290607.3312869 SN - 978-1-4503-5971-9 PB - ACM CY - New York ER - TY - CHAP A1 - von Sawitzky, Tamara A1 - Wintersberger, Philipp A1 - Riener, Andreas A1 - Gabbard, Joseph ED - Cauchard, Jessica ED - Gentile, Vito ED - Khamis, Mohamed ED - Sorce, Salvatore T1 - Increasing trust in fully automated driving: route indication on an augmented reality head-up display T2 - PerDis '19: Proceedings of the 8th ACM International Symposium on Pervasive Displays UR - https://doi.org/10.1145/3321335.3324947 KW - fully automated driving KW - augmented reality KW - head-up displays KW - route indication KW - trust KW - human factors Y1 - 2019 UR - https://doi.org/10.1145/3321335.3324947 SN - 978-1-4503-6751-6 PB - ACM CY - New York ER - TY - CHAP A1 - Löcken, Andreas A1 - Wintersberger, Philipp A1 - Frison, Anna-Katharina A1 - Riener, Andreas T1 - Investigating User Requirements for Communication Between Automated Vehicles and Vulnerable Road Users T2 - 2019 IEEE Intelligent Vehicles Symposium (IV) UR - https://doi.org/10.1109/IVS.2019.8814027 KW - interviews KW - roads KW - light emitting diodes KW - pragmatics KW - vehicles KW - communication systems KW - safety Y1 - 2019 UR - https://doi.org/10.1109/IVS.2019.8814027 SN - 978-1-7281-0560-4 SP - 879 EP - 884 PB - IEEE CY - Piscataway ER -