@inproceedings{SchlangenBaumannAtterer, author = {Schlangen, David and Baumann, Timo and Atterer, Michaela}, title = {Incremental Reference Resolution: The Task, Metrics for Evaluation, and a Bayesian Filtering Model that is Sensitive to Disfluencies}, series = {Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue, September 11 - 12, 2009, London United Kingdom}, booktitle = {Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue, September 11 - 12, 2009, London United Kingdom}, publisher = {Association for Computational Linguistics}, address = {London, UK}, pages = {30 -- 37}, abstract = {In this paper we do two things: a) we discuss in general terms the task of incre mental reference resolution (IRR), in particular resolution of exophoric reference, and specify metrics for measuring the performance of dialogue system components tackling this task, and b) we present a simple Bayesian filtering model of IRR that performs reasonably well just using words directly (no structure information and no hand-coded semantics): it picks the right referent out of 12 for around 50 \% of real world dialogue utterances in our test corpus. It is also able to learn to interpret not only words but also hesitations, just as humans have shown to do in similar situations, namely as markers of references tohard-to-describe entities.}, language = {en} } @inproceedings{SchlangenBaumannBuschmeieretal., author = {Schlangen, David and Baumann, Timo and Buschmeier, Hendrik and Buß, Okko and Kopp, Stefan and Skantze, Gabriel and Yaghoubzadeh, Ramin}, title = {Middleware for Incremental Processing in Conversational Agents}, series = {Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SigDial 2010), September 24 - 25, 2010, Tokyo Japan}, booktitle = {Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SigDial 2010), September 24 - 25, 2010, Tokyo Japan}, publisher = {Association for Computational Linguistics}, address = {Tokyo, Japan}, pages = {51 -- 54}, abstract = {We describe work done at three sites on designing conversational agents capable of incremental processing. We focus on the ‘middleware’ layer in these systems, which takes care of passing around and maintaining incremental information between the modules of such agents. All implementations are based on the abstract model of incremental dialogue processing proposed by Schlangen and Skantze (2009), and the paper shows what different instantiations of the model can look like given specific requirements and application areas.}, language = {en} } @incollection{vanWelbergenBaumannSchlangenetal., author = {van Welbergen, Herwin and Baumann, Timo and Schlangen, David and Kopp, Stefan}, title = {Incremental, Adaptive and Interruptive Speech Realization for Fluent Conversation with ECAs}, series = {Intelligent Virtual Agents}, booktitle = {Intelligent Virtual Agents}, publisher = {Springer}, isbn = {978-3-642-40414-6}, pages = {468 -- 469}, abstract = {This project aimed to establish the feasibility of creating a procedural system for generating expressive facial animation based on an affective agent. A procedural system supporting a limited number of emotional expression changes was created alongside keyframed animations of these same emotional expression changes, and audience response to these two approaches was tested empirically. Results seem to partially support the procedural animations generated being comparable with keyframed, in terms of perceptual validity.}, language = {en} } @inproceedings{vonderMalsburgBaumannSchlangen, author = {von der Malsburg, Titus and Baumann, Timo and Schlangen, David}, title = {TELIDA: A Package for Manipulation and Visualisation of Timed Linguistic Data}, series = {Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue, September 11 - 12, 2009, London United Kingdom}, booktitle = {Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue, September 11 - 12, 2009, London United Kingdom}, publisher = {Association for Computational Linguistics}, address = {London, UK}, doi = {10.5555/1708376.1708419}, pages = {302 -- 305}, abstract = {We present a toolkit for manipulating andvisualising time-aligned linguistic datasuch as dialogue transcripts or languageprocessing data. The package comple-ments existing editing tools by allowingfor conversion between their formats, in-formation extraction from the raw files,and by adding sophisticated, and easily ex-tended methods for visualising the dynam-ics of dialogue processing. To illustratethe versatility of the package, we describeits use in three different projects at our site.}, language = {en} } @techreport{HammHuhnReschke, type = {Working Paper}, author = {Hamm, Michael and Huhn, Wolfgang and Reschke, Johannes}, title = {Ideas for next lighting generations in digitalization and autonomous driving}, series = {SAE Technical Paper Series. - WCX World Congress Experience. - APR. 10, 2018. - (SAE Technical Paper Series)}, journal = {SAE Technical Paper Series. - WCX World Congress Experience. - APR. 10, 2018. - (SAE Technical Paper Series)}, publisher = {SAE International}, address = {Warrendale, United States}, doi = {10.4271/2018-01-1038}, abstract = {Digitalization in Industry and Society is progressing quickly. Up to now, just 5 static and standard lighting applications have been dominating in the U.S. (Low/High Beam, Daytime Running Lamp Turn Indicator \& Position Lamp). The global interest in standardization of light driven messages from autonomous vehicles to other traffic participants has opened new research needs and research findings. In Europe, GTB has established a working group dedicated to this topic. The article will discuss the possible contribution of signalling and lighting functions to Digitalization and Autonomous driving by explaining the first elements of functional definition and research results.}, language = {en} } @article{ReschkeAuburgerMarichalaretal., author = {Reschke, Johannes and Auburger, Marie-Theres and Marichalar, Rebeca and Neumann, Cornelius}, title = {Communication between automated vehicles and pedestrians}, series = {ATZ worldwide}, volume = {121}, journal = {ATZ worldwide}, number = {9}, publisher = {Springer Nature}, address = {Wiesbaden}, doi = {10.1007/s38311-019-0098-z}, pages = {16 -- 23}, language = {en} } @phdthesis{ZInner, author = {ZInner, Helge}, title = {Vernetzung heterogener Feldbusse auf Basis des Standards Ethernet Audio Video Bridging}, address = {Ilmenau}, pages = {III, 191 S.}, language = {de} } @inproceedings{GerstnerHackenberg, author = {Gerstner, Mathias and Hackenberg, Rudolf}, title = {Context-aware forecasting of mobile network quality for autonomous vehicle connectivity}, series = {Vehicular analytics 2025 : the second conference on vehicular systems}, booktitle = {Vehicular analytics 2025 : the second conference on vehicular systems}, publisher = {IARIA}, isbn = {978-1-68558-320-0}, doi = {10.35096/othr/pub-8616}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-86166}, pages = {7}, abstract = {As autonomous driving becomes increasingly feasible, the German government has introduced a legal framework to enable the operation with Level 4 automated driving functionality. A key requirement is the maintenance of a continuous connection between such vehicles and a remote technical supervisor. If this link is lost, the vehicle must transition into a safe state by bringing itself to a controlled stop. To mitigate the risk of connection loss, accurate forecasting of mobile network availability along routes is essential. This paper presents an Exploratory Data Analysis (EDA) based on 38 measurement runs collected over ten months along a rural 64 km route in Germany. The dataset includes passive mobile network signal quality parameters, Global Navigation Satellite System (GNSS) position and precision data, as well as contextual features, such as speed, driving direction, day of the week, weather, and distance to the connected base station. Although mean values capture overall tendencies for areas with consistently good or poor coverage, they fail to capture the variability necessary for reliable prediction on a per-trip basis. Notably, some route segments show high variance in signal quality across different measurement runs. This variability is assumed to result from changing environmental influences, such as weather or traffic conditions at different times. Our analysis reveals weak but statistically relevant correlations between several contextual features (e.g., temperature ≈ -0.2) and network quality indicators. The inclusion of weather parameters or the day of the week has been shown to lower the Mean Absolute Error (MAE) compared to a prediction based only on measurements from the past. These findings underscore the importance of contextual information and localized modeling to predict network availability for safety-critical systems, such as autonomous vehicles.}, language = {en} } @inproceedings{RaspSahinbasReisingeretal., author = {Rasp, Franziska and Sahinbas, Burak and Reisinger, Thomas and Leitgeb, Erich and Hipp, Susanne}, title = {Polarization-based peak distortion mitigation for 5G sidelink positioning}, series = {2025 International Conference on Software, Telecommunications and Computer Networks (SoftCOM), 18-20 September 2025, Split, Coratia}, booktitle = {2025 International Conference on Software, Telecommunications and Computer Networks (SoftCOM), 18-20 September 2025, Split, Coratia}, publisher = {IEEE}, address = {Split}, isbn = {978-953-290-143-6}, issn = {1847-358X}, pages = {6}, abstract = {For cooperative driving both environmental perception and communication with other vehicles and the infrastructure are essential to avoid safety critical situations. The 5G Sidelink, as part of the Cellular Vehicle to Everything framework, enables both communication and, since 3GPP Release 18, positioning for distance estimation between vehicles. Due to the expected bandwidth limitations of 5G Sidelink in the Intelligent Transportation System band, combined with signal distortion caused by multi-path superposition, achieving submeter positioning accuracy is a significant challenge. Polarization diversity is investigated as a potential approach to mitigate errors resulting from signal distortion and subsequent peak shifts due to multi-path superposition. This work investigates the potential for reduced peak shift errors through the use of dual-polarized receive antennas. The received signals are processed using a polarization scan algorithm and compared to the accuracy achieved with single-antenna systems. The analysis is conducted using the Quasi Deterministic Radio Channel Generator framework with statistical Vehicle-to-Everything channel models. Simulation results show that polarization scan-based postprocessing reduces peak shifts and improves robustness in scenarios with polarization-mismatched antenna configurations.}, language = {en} } @unpublished{LaubmannReschke, author = {Laubmann, Julia and Reschke, Johannes}, title = {Tackling fake images in cybersecurity - interpretation of a StyleGAN and lifting its black-box}, doi = {10.48550/arXiv.2507.13722}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-83930}, pages = {11}, abstract = {In today's digital age, concerns about the dangers of AI-generated images are increasingly common. One powerful tool in this domain is StyleGAN (style-based generative adversarial networks), a generative adversarial network capable of producing highly realistic synthetic faces. To gain a deeper understanding of how such a model operates, this work focuses on analyzing the inner workings of StyleGAN's generator component. Key architectural elements and techniques, such as the Equalized Learning Rate, are explored in detail to shed light on the model's behavior. A StyleGAN model is trained using the PyTorch framework, enabling direct inspection of its learned weights. Through pruning, it is revealed that a significant number of these weights can be removed without drastically affecting the output, leading to reduced computational requirements. Moreover, the role of the latent vector -- which heavily influences the appearance of the generated faces -- is closely examined. Global alterations to this vector primarily affect aspects like color tones, while targeted changes to individual dimensions allow for precise manipulation of specific facial features. This ability to finetune visual traits is not only of academic interest but also highlights a serious ethical concern: the potential misuse of such technology. Malicious actors could exploit this capability to fabricate convincing fake identities, posing significant risks in the context of digital deception and cybercrime.}, language = {en} }