@inproceedings{11724,
  abstract     = {{In this paper we present a novel vehicle tracking method which is based on multi-stage Kalman filtering of GPS and IMU sensor data. After individual Kalman filtering of GPS and IMU measurements the estimates of the orientation of the vehicle are combined in an optimal manner to improve the robustness towards drift errors. The tracking algorithm incorporates the estimation of time-variant covariance parameters by using an iterative block Expectation-Maximization algorithm to account for time-variant driving conditions and measurement quality. The proposed system is compared to an interacting multiple model approach (IMM) and achieves improved localization accuracy at lower computational complexity. Furthermore we show how the joint parameter estimation and localizaiton can be conducted with streaming input data to be able to track vehicles in a real driving environment.}},
  author       = {{Bevermeier, Maik and Peschke, Sven and Haeb-Umbach, Reinhold}},
  booktitle    = {{IEEE 69th Vehicular Technology Conference (VTC 2009 Spring)}},
  keywords     = {{computational complexity, expectation-maximisation algorithm, Global Positioning System, inertial measurement unit, inertial navigation, interacting multiple model, iterative block expectation-maximization algorithm, Kalman filters, multi-stage Kalman filter, parameter estimation, road vehicles, vehicle positioning, vehicle tracking}},
  pages        = {{1--5}},
  title        = {{{Joint Parameter Estimation and Tracking in a Multi-Stage Kalman Filter for Vehicle Positioning}}},
  doi          = {{10.1109/VETECS.2009.5073634}},
  year         = {{2009}},
}

@inproceedings{11725,
  author       = {{Bevermeier, Maik and Peschke, Sven and Haeb-Umbach, Reinhold}},
  booktitle    = {{DGON Navigationskonvent 2009}},
  title        = {{{Eine Plattform fuer Mehrwertdienste im Bereich Logistik - Drahtlose Fahrzeug- und Laderaumueberwachung fuer LKW mit Hilfe einer Maut-On-Board Unit}}},
  year         = {{2009}},
}

@inproceedings{11847,
  abstract     = {{In this paper we present a new feature space dereverberation technique for automatic speech recognition. We derive an expression for the dependence of the reverberant speech features in the log-mel spectral domain on the non-reverberant speech features and the room impulse response. The obtained observation model is used for a model based speech enhancement based on Kalman filtering. The performance of the proposed enhancement technique is studied on the AURORA5 database. In our currently best configuration, which includes uncertainty decoding, the number of recognition errors is approximately halved compared to the recognition of unprocessed speech.}},
  author       = {{Krueger, Alexander and Haeb-Umbach, Reinhold}},
  booktitle    = {{Interspeech 2009}},
  title        = {{{Model based feature enhancement for automatic speech recognition in reverberant environments}}},
  year         = {{2009}},
}

@inproceedings{11859,
  abstract     = {{In this paper we present an Uncertainty Decoding rule which exploits feature reliability information and interframe correlation for noise robust speech recognition. The reliability information can be obtained either from conditional Bayesian estimation, where speech and noise feature vectors are tracked jointly, or by augmenting conventional point estimation methods with heuristics about the estimator's reliability. Experimental results on the AURORA2 database demonstrate on the one hand that Uncertainty Decoding improves recognition performance, while on the other hand it is seen that the severe approximations needed to arrive at computationally tractable solutions have their noticable impact on recognition performance.}},
  author       = {{Leutnant, Volker and Haeb-Umbach, Reinhold}},
  booktitle    = {{International Conference on Acoustics (NAG/DAGA 2009)}},
  title        = {{{On the Estimation and Use of Feature Reliability Information for Noise Robust Speech Recognition}}},
  year         = {{2009}},
}

@inproceedings{11860,
  abstract     = {{In this paper we present an analytic derivation of the moments of the phase factor between clean speech and noise cepstral or log-mel-spectral feature vectors. The development shows, among others, that the probability density of the phase factor is of sub-Gaussian nature and that it is independent of the noise type and the signal-to-noise ratio, however dependent on the mel filter bank index. Further we show how to compute the contribution of the phase factor to both the mean and the vari- ance of the noisy speech observation likelihood, which relates the speech and noise feature vectors to those of noisy speech. The resulting phase-sensitive observation model is then used in model-based speech feature enhancement, leading to significant improvements in word accuracy on the AURORA2 database.}},
  author       = {{Leutnant, Volker and Haeb-Umbach, Reinhold}},
  booktitle    = {{Interspeech 2009}},
  title        = {{{An analytic derivation of a phase-sensitive observation model for noise robust speech recognition}}},
  year         = {{2009}},
}

@inproceedings{11881,
  abstract     = {{A combination of GPS (global positioning system) and INS (inertial navigation system) is known to provide high precision and highly robust vehicle localization. Notably during times when the GPS signal has a poor quality, e.g. due to the lack of a sufficiently large number of visible satellites, the INS, which may consist of a gyroscope and an odometer, will lead to improved positioning accuracy. In this paper we show how velocity information obtained from GSM (global system for mobile communications) signalling, rather than from a tachometer, can be used together with a gyroscope sensor to support localization in the presence of temporarily unavailable GPS data. We propose a sensor fusion system architecture and present simulation results that show the effectiveness of this approach.}},
  author       = {{Peschke, Sven and Bevermeier, Maik and Haeb-Umbach, Reinhold}},
  booktitle    = {{6th Workshop on Positioning Navigation and Communication (WPNC 2009)}},
  keywords     = {{cellular radio, distance measurement, global positioning system, Global Positioning System, global system for mobile communications, GPS positioning approach, GSM velocity, gyroscopes, gyroscope sensor, inertial navigation, inertial navigation system, odometer, sensor fusion system architecture, sensors}},
  pages        = {{195--202}},
  title        = {{{A GPS positioning approach exploiting GSM velocity estimates}}},
  doi          = {{10.1109/WPNC.2009.4907827}},
  year         = {{2009}},
}

@inproceedings{11882,
  author       = {{Peschke, Sven and Bevermeier, Maik and Haeb-Umbach, Reinhold}},
  booktitle    = {{DGON Navigationskonvent 2009}},
  title        = {{{Verbesserung von GPS-basierter Ortung durch GSM-Geschwindigkeitsschaetzungen}}},
  year         = {{2009}},
}

@article{11937,
  abstract     = {{In automatic speech recognition, hidden Markov models (HMMs) are commonly used for speech decoding, while switching linear dynamic models (SLDMs) can be employed for a preceding model-based speech feature enhancement. In this paper, these model types are combined in order to obtain a novel iterative speech feature enhancement and recognition architecture. It is shown that speech feature enhancement with SLDMs can be improved by feeding back information from the HMM to the enhancement stage. Two different feedback structures are derived. In the first, the posteriors of the HMM states are used to control the model probabilities of the SLDMs, while in the second they are employed to directly influence the estimate of the speech feature distribution. Both approaches lead to improvements in recognition accuracy both on the AURORA2 and AURORA4 databases compared to non-iterative speech feature enhancement with SLDMs. It is also shown that a combination with uncertainty decoding further enhances performance.}},
  author       = {{Windmann, Stefan and Haeb-Umbach, Reinhold}},
  journal      = {{IEEE Transactions on Audio, Speech, and Language Processing}},
  keywords     = {{AURORA2 databases, AURORA4 databases, automatic speech recognition, feedback structures, hidden Markov models, HMM, iterative methods, iterative speech feature enhancement, model probabilities, speech decoding, speech enhancement, speech feature distribution, speech recognition, switching linear dynamic models}},
  number       = {{5}},
  pages        = {{974--984}},
  title        = {{{Approaches to Iterative Speech Feature Enhancement and Recognition}}},
  doi          = {{10.1109/TASL.2009.2014894}},
  volume       = {{17}},
  year         = {{2009}},
}

@article{11938,
  abstract     = {{In this paper, parameter estimation of a state-space model of noise or noisy speech cepstra is investigated. A blockwise EM algorithm is derived for the estimation of the state and observation noise covariance from noise-only input data. It is supposed to be used during the offline training mode of a speech recognizer. Further a sequential online EM algorithm is developed to adapt the observation noise covariance on noisy speech cepstra at its input. The estimated parameters are then used in model-based speech feature enhancement for noise-robust automatic speech recognition. Experiments on the AURORA4 database lead to improved recognition results with a linear state model compared to the assumption of stationary noise.}},
  author       = {{Windmann, Stefan and Haeb-Umbach, Reinhold}},
  journal      = {{IEEE Transactions on Audio, Speech, and Language Processing}},
  keywords     = {{AURORA4 database, blockwise EM algorithm, covariance analysis, linear state model, noise covariance, noise-robust automatic speech recognition, noisy speech cepstra, offline training mode, parameter estimation, speech recognition, speech recognition equipment, speech recognizer, state-space methods, state-space model}},
  number       = {{8}},
  pages        = {{1577--1590}},
  title        = {{{Parameter Estimation of a State-Space Model of Noise for Robust Speech Recognition}}},
  doi          = {{10.1109/TASL.2009.2023172}},
  volume       = {{17}},
  year         = {{2009}},
}

@article{28964,
  abstract     = {{The relevance of top-down information in the deployment of attention has more and more been emphasized in cognitive psychology. We present recent findings about the dynamic of these processes and also demonstrate that task relevance can be adjusted rapidly by incoming bottom-up information. This adjustment substantially increases performance in a subsequent task. Implications for artificial visual models are discussed.}},
  author       = {{Hilkenmeier, Frederic and Tünnermann, Jan and Scharlau, Ingrid}},
  journal      = {{KI 2009: Advances in Artificial Intelligence. Proceedings of the 32nd Annual Conference on Artificial Intelligence.}},
  keywords     = {{visuo-spatial attention, top-down control, task relevance, artificial visual attention, attentional blink}},
  title        = {{{Early Top-Down Influences in Control of Attention: Evidence from the Attentional Blink}}},
  year         = {{2009}},
}

@article{28959,
  abstract     = {{Human observers consequently misjudge the position of moving objects towards the direction of motion. This so called flash-lag effect is supposed to be related to very basic processes such as processing latencies in the human brain. In our study we show that this effect can be inversed by changing the task-set of the observer. A top-down change of the observers attentional set leads to a different perception of otherwise identical scenes. Cognitive theories regard the misperception of the moving object as an important feature of attention-mediated processing, because it reflects the prioritized processing of important objects.}},
  author       = {{Priess, Heinz-Werner and Scharlau, Ingrid}},
  journal      = {{KI 2009: Advances in Artificial Intelligence. Proceedings of the 32nd Annual Conference on Artificial Intelligence.}},
  title        = {{{What you see is what you set – the position of moving objects}}},
  year         = {{2009}},
}

@article{32520,
  abstract     = {{In order to investigate the significance of
adults’ relationship to their parents, this relationship is
compared to relationships with siblings, friends, partners,
and children. German adults (N = 902) between the ages
of 20 and 86 completed the Network of Relationships
Inventory (Furman and Buhrmester 1992). Participants felt
most supported by their partners, followed by their children, mothers, friends, fathers, and siblings. Conflicts were
more frequently found within the family (especially with
the partner, followed by children, mothers, fathers, and
siblings) than with friends. Except for partner relationships,
both conflict and support decreased with age. Concerning
relative power within their relationships, partners, mothers,
and siblings are seen as equals, friends and especially
fathers are perceived as more powerful, and children as
less, yet increasingly powerful. Regarding all relationship
types and relationship qualities, the differences between
women and men were small.}},
  author       = {{Buhl, Heike M.}},
  issn         = {{1068-0667}},
  journal      = {{Journal of Adult Development}},
  keywords     = {{Family, Friends,  Support,  Conflict,  Power}},
  number       = {{4}},
  pages        = {{239--249}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{My Mother: My Best Friend? Adults’ Relationships with Significant Others Across the Lifespan}}},
  doi          = {{10.1007/s10804-009-9070-2}},
  volume       = {{16}},
  year         = {{2009}},
}

@article{32519,
  abstract     = {{Im vorliegenden Beitrag wird der Zusammenhang zwischen der Fähigkeit zur Perspektivenübernahme und sinnverstehendem Lesen dargestellt. Auf der Grundlage von Arbeiten zum Textverstehen sowie zu Perspektivenübernahme und Theory of Mind wurde ein positiver Zusammenhang zwischen Perspektivenübernahmefähigkeit und Textverstehensleistung erwartet. Diese Hypothese wurde an zwei Stichproben unterschiedlichen Alters geprüft: In der ersten Studie beantworteten 37 Vorschulkinder Fragen zu vorgelesenen Geschichten sowie Perspektivenübernahme-Aufgaben. Zwischen den Bereichen fand sich eine deutliche positive Korrelation, die bei
Kontrolle der Intelligenz erhalten blieb. An der zweiten Studie nahmen 69 Grundschulkinder der
dritten Jahrgangsstufe teil, die Texte lasen und Aufgaben dazu wie auch zur Perspektivenübernahme bearbeiteten. In dieser Stichprobe fand sich der erwartete Zusammenhang ausschließlich
in der Teilgruppe der guten Leser. Er blieb bei Kontrolle der Intelligenz erhalten. Die Ergebnisse
werden auch in Hinblick auf die Förderung der Lesekompetenz diskutiert.}},
  author       = {{Buhl, Heike M. and Möller, Franziska and Oebser, Manuela and Stein, Freia and Noack, Peter}},
  journal      = {{Diskurs Kindheits- und Jugendforschung}},
  keywords     = {{Textverstehen, Lesekompetenz, Perspektivenübernahme, Theory of Mind, Kindesalter}},
  pages        = {{75 -- 90}},
  title        = {{{Zusammenhänge zwischen der Fähigkeit zur Perspektivenübernahme und dem Textverstehen im Vor- und Grundschulalter}}},
  volume       = {{1}},
  year         = {{2009}},
}

@misc{15577,
  author       = {{Hagengruber, Ruth Edith}},
  booktitle    = {{Francia-Recensio. Frühe Neuzeit – Revolution – Empire (1500–1815). }},
  title        = {{{Kölving, Ulla; Courcelle, Olivier. Émilie du Châtelet. Éclairages et documents nouveaux (Ferney-Voltaire: Centre International d'Étude du XVIIIe Siècle, 2008)}}},
  volume       = {{4}},
  year         = {{2009}},
}

@inproceedings{11900,
  author       = {{Schmalenstroeer, Joerg and Leutnant, Volker and Haeb-Umbach, Reinhold}},
  booktitle    = {{1st International Workshop on Distributed Computing in Ambient Environments within 32nd Annual Conference on Artificial Intelligence}},
  title        = {{{Audio-Visual Data Processing for Ambient Communication}}},
  year         = {{2009}},
}

@inproceedings{11806,
  abstract     = {{Microphone arrays represent the basis for many challenging acoustic sensing tasks. The accuracy of techniques like beamforming directly depends on a precise knowledge of the relative positions of the sensors used. Unfortunately, for certain use cases manually measuring the geometry of an array is not feasible due to practical constraints. In this paper we present an approach to unsupervised shape calibration of microphone array networks. We developed a hierarchical procedure that first performs local shape calibration based on coherence analysis and then employs SRP-PHAT in a network calibration method. Practical experiments demonstrate the effectiveness of our approach especially for highly reverberant acoustic environments.}},
  author       = {{Hennecke, Marius and Ploetz, Thomas and Fink, Gernot A. and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}},
  booktitle    = {{IEEE/SP 15th Workshop on Statistical Signal Processing (SSP 2009)}},
  keywords     = {{acoustic sensing tasks, array geometry, calibration, coherence analysis, hierarchical procedure, local shape calibration, microphone array networks, microphone arrays, network calibration method, sensor arrays, SRP-PHAT, unsupervised shape calibration}},
  pages        = {{257--260}},
  title        = {{{A hierarchical approach to unsupervised shape calibration of microphone array networks}}},
  doi          = {{10.1109/SSP.2009.5278589}},
  year         = {{2009}},
}

@inproceedings{11899,
  abstract     = {{In this paper we present a system for identifying and localizingspeakers using distant microphone arrays and a steerablepan-tilt-zoom camera. Audio and video streams are processedin real-time to obtain the diarization information {grqq}who speakswhen and where'' with low latency to be used in advanced videoconferencing systems or user-adaptive interfaces. A key featureof the proposed system is to first glean information about thespeaker{\rq}s location and identity from the audio and visual datastreams separately and then to fuse these data in a probabilisticframework employing the Viterbi algorithm. Here, visual evidenceof a person is utilized through a priori state probabilities,while location and speaker change information are employedvia time-variant transition probablities. Experiments show thatvideo information yields a substantial improvement comparedto pure audio-based diarization.}},
  author       = {{Schmalenstroeer, Joerg and Kelling, Martin and Leutnant, Volker and Haeb-Umbach, Reinhold}},
  booktitle    = {{Interspeech 2009}},
  title        = {{{Fusing Audio and Video Information for Online Speaker Diarization}}},
  year         = {{2009}},
}

@article{48679,
  author       = {{Hartung, Olaf and Krüger, Angela}},
  issn         = {{2553182-7 }},
  journal      = {{Mitteilungen des Oberhessischen Geschichtsvereins Gießen}},
  pages        = {{157--176}},
  publisher    = {{Oberhessischer Geschichtsverein Gießen}},
  title        = {{{Gab es ein „Augusterlebnis“ in Gießen 1914?}}},
  volume       = {{94}},
  year         = {{2009}},
}

@article{49794,
  author       = {{Jacke, Christoph}},
  journal      = {{Culture Unbound. Journal of Current Cultural Research.}},
  number       = {{2}},
  pages        = {{331--348}},
  title        = {{{Locating Intermediality: Socialization by Communication and Consumption in the Popular-Cultural Third Places of the Music Club and Football Stadium.}}},
  volume       = {{1}},
  year         = {{2009}},
}

@misc{18675,
  author       = {{Peckhaus, Volker}},
  booktitle    = {{zbMATH Open, Zbl. 1169.03009}},
  title        = {{{Linnebo, Øystein, “Frege’s Context Principle and Reference to Natural Numbers”, in: Sten Lindström et al. (eds.), Logicism, Intuitionism, and Formalism. What has Become of Them?, Springer: Dordrecht 2009 (Synthese Library; 341), 47–68}}},
  year         = {{2009}},
}

