@book{BenekenErnstSchmidt2015, author = {Beneken, Gerd and Ernst, H. and Schmidt, Jochen}, title = {Grundkurs Informatik: Grundlagen und Konzepte f{\"u}r die erfolgreiche IT-Praxis - Eine umfassende, praxisorientierte Einf{\"u}hrung (Auflage von 2015)}, publisher = {Springer Vieweg}, address = {Berlin}, publisher = {Technische Hochschule Rosenheim}, year = {2015}, abstract = {Das Buch bietet eine umfassende und praxisorientierte Einf{\"u}hrung in die wesentlichen Grundlagen und Konzepte der Informatik. Es umfasst den Stoff, der typischerweise in den ersten Semestern eines Informatikstudiums vermittelt wird, vertieft Zusammenh{\"a}nge, die dar{\"u}ber hinausgehen und macht sie verst{\"a}ndlich. Die Themenauswahl orientiert sich an der langfristigen Relevanz f{\"u}r die praktische Anwendung. Praxisnah und aktuell werden die Inhalte f{\"u}r Studierende der Informatik und verwandter Studieng{\"a}nge sowie f{\"u}r im Beruf stehende Praktiker vermittelt. Die vorliegende f{\"u}nfte Auflage wurde grundlegend {\"u}berarbeitet und aktualisiert.}, language = {de} } @inproceedings{WenningerSchmidtGoeller2017, author = {Wenninger, Marc and Schmidt, Jochen and Goeller, Toni}, title = {Appliance Usage Prediction for the Smart Home with an Application to Energy Demand Side Management - And Why Accuracy is not a Good Performance Metric for this Problem.}, series = {6th International Conference on Smart Cities and Green ICT Systems (SMARTGREENS)}, booktitle = {6th International Conference on Smart Cities and Green ICT Systems (SMARTGREENS)}, year = {2017}, abstract = {Shifting energy peak load is a subject that plays a huge role in the currently changing energy market, where renewable energy sources no longer produce the exact amount of energy demanded. Matching demand to supply requires behavior Changes on the customerside, which can be achieved by incentives suchas Real-Time-Pricing (RTP). Various studies show that such incentives cannot be utilized without a complexity reduction, e.g., by smart home automation systems that inform the customer about possible savings or automatically schedule appliances to off-peak load phases. We propose a probabilistic appliance usage prediction based on historical energy data that can be used to identify the times of day where an appliance will be used and therefore make load shift recommendations that suite the customer's usage profile. A huge issue is how to provide a valid performance evaluation for this particular problem. We will argue why the commonly used accuracy metric is not suitable, and suggest to use other metrics like the area under the Receiver Operating Characteristic (ROC) curve, Matthews Correlation Coefficient (MCC) or F1-Score instead.}, language = {en} } @inproceedings{GoellerWenningerSchmidt2018, author = {Goeller, Toni and Wenninger, Marc and Schmidt, Jochen}, title = {Towards Cost-Effective Utility Business Models - Selecting a Communication Architecture for the Rollout of New Smart Energy Services}, series = {Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS}, booktitle = {Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS}, publisher = {SciTePress}, isbn = {978-989-758-292-9}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:861-opus4-8332}, pages = {231 -- 237}, year = {2018}, abstract = {The IT architecture for meter reading and utility services is at the core of new business models and has a decisive role as an enabler for resource efficiency measures. The communication architecture used by those services has significant impact on cost, flexibility and speed of new service rollout. This article describes how the dominant system model for meter reading came about, what alternative models exist, and what trade-offs those models have for rollout of new services by different stakeholders. Control of a self learning home automation system by dynamic tariff information (Real-Time-Pricing) is given as an application example.}, language = {en} } @book{ErnstSchmidtBeneken2020, author = {Ernst, Hartmut and Schmidt, Jochen and Beneken, Gerd}, title = {Grundkurs Informatik: Grundlagen und Konzepte f{\"u}r die erfolgreiche IT-Praxis - Eine umfassende, praxisorientierte Einf{\"u}hrung}, edition = {7}, publisher = {Springer Vieweg}, address = {Wiesbaden}, isbn = {978-3-658-30330-3}, publisher = {Technische Hochschule Rosenheim}, pages = {863}, year = {2020}, abstract = {Zahlensysteme und bin{\"a}re Arithmetik - Nachricht und Information - Codierung und Datenkompression - Verschl{\"u}sselung - Schaltalgebra, Schaltnetze und Elemente der Computerhardware - Rechnerarchitekturen - Rechnernetze - Betriebssysteme - prozedurale und objektorientierte Programmierung (C und Java) - Automatentheorie und formale Sprachen - Berechenbarkeit und Komplexit{\"a}t - Suchen und Sortieren - B{\"a}ume und Graphen - Software-Engineering - Datenbanken - Anwendungsprogrammierung im Internet (HTML, CSS, JavaScript und PHP) - Deep Learning mit neuronalen Netzen}, language = {de} } @book{Schmidt2020, author = {Schmidt, Jochen}, title = {Grundkurs Informatik - Das {\"U}bungsbuch: 148 Aufgaben mit L{\"o}sungen}, edition = {2}, publisher = {Springer Vieweg}, address = {Wiesbaden}, isbn = {978-3-658-30332-7}, publisher = {Technische Hochschule Rosenheim}, pages = {187}, year = {2020}, language = {de} } @article{WenningerMaierSchmidt2021, author = {Wenninger, Marc and Maier, Andreas and Schmidt, Jochen}, title = {DEDDIAG, a domestic electricity demand dataset of individual appliances in Germany}, series = {Scientific Data}, volume = {8}, journal = {Scientific Data}, number = {176}, pages = {15}, year = {2021}, abstract = {Real-world domestic electricity demand datasets are the key enabler for developing and evaluating machine learning algorithms that facilitate the analysis of demand attribution and usage behavior. Breaking down the electricity demand of domestic households is seen as the key technology for intelligent smart-grid management systems that seek an equilibrium of electricity supply and demand. For the purpose of comparable research, we publish DEDDIAG, a domestic electricity demand dataset of individual appliances in Germany. The dataset contains recordings of 15 homes over a period of up to 3.5 years, wherein total 50 appliances have been recorded at a frequency of 1 Hz. Recorded appliances are of significance for load-shifting purposes such as dishwashers, washing machines and refrigerators. One home also includes three-phase mains readings that can be used for disaggregation tasks. Additionally, DEDDIAG contains manual ground truth event annotations for 14 appliances, that provide precise start and stop timestamps. Such annotations have not been published for any long-term electricity dataset we are aware of.}, language = {en} } @inproceedings{BayerlWenningerSchmidtetal.2021, author = {Bayerl, Sebastian P. and Wenninger, Marc and Schmidt, Jochen and Wolff von Gudenberg, Alexander and Riedhammer, Korbinian}, title = {STAN: A stuttering therapy analysis helper}, series = {2021 IEEE Spoken Language Technology Workshop (SLT)}, booktitle = {2021 IEEE Spoken Language Technology Workshop (SLT)}, pages = {2}, year = {2021}, abstract = {Stuttering is a complex speech disorder identified by repetitions, prolongations of sounds, syllables or words and blockswhile speaking. Specific stuttering behaviour differs strongly,thus needing personalized therapy. Therapy sessions requirea high level of concentration by the therapist. We introduce STAN, a system to aid speech therapists in stuttering therapysessions. Such an automated feedback system can lower the cognitive load on the therapist and thereby enable a more consistent therapy as well as allowing analysis of stuttering over the span of multiple therapy sessions.}, language = {en} } @inproceedings{WenningerBayerlMaieretal.2021, author = {Wenninger, Marc and Bayerl, Sebastian P. and Maier, Andreas and Schmidt, Jochen}, title = {Recurrence Plot Spacial Pyramid Pooling Network for Appliance Identification in Non-Intrusive Load Monitoring}, series = {2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)}, booktitle = {2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)}, pages = {108 -- 115}, year = {2021}, abstract = {Parameter free Non-intrusive Load Monitoring (NILM) algorithms are a major step toward real-world NILM scenarios. The identification of appliances is the key element in NILM. The task consists of identification of the appliance category and its current state. In this paper, we present a param- eter free appliance identification algorithm for NILM using a 2D representation of time series known as unthresholded Recurrence Plots (RP) for appliance category identification. One cycle of voltage and current (V-I trajectory) are transformed into a RP and classified using a Spacial Pyramid Pooling Convolutional Neural Network architecture. The performance of our approach is evaluated on the three public datasets COOLL, PLAID and WHITEDv1.1 and compared to previous publications. We show that compared to other approaches using our architecture no initial parameters have to be manually tuned for each specific dataset.}, language = {en} } @inproceedings{ZinsserSchmidtNiemann2003, author = {Zinßer, T. and Schmidt, Jochen and Niemann, H.}, title = {Performance Analysis of Nearest Neighbor Algorithms for ICP Registration of 3-D Point Sets}, series = {Vision, Modeling, and Visualization 2003}, booktitle = {Vision, Modeling, and Visualization 2003}, year = {2003}, abstract = {There are many nearest neighbor algorithms tailor made for ICP,but most of them require Special input data like range Images or triangle meshes. We focus on efficient nearest neighbor algorithms that do not impose this limitation, and thus can also be used with 3-D point sets generated by structure-frommotion techniques. We shortly present the evaluated algorithms and introduce the modifications we made to improve their efficiency. In particular, several enhancements to the well-known k-D tree algorithm are described. The first part of our Performance Analysis consists of Experiments on synthetic point sets, whereas the second part features experiments with the ICP algorithm on real point sets. Both parts are completed by a thorough evaluation of the obtained results.}, language = {en} } @article{ZobelDenzlerHeigletal.2003, author = {Zobel, M. and Denzler, J. and Heigl, B. and N{\"o}th, E. and Paulus, D. and Schmidt, Jochen and Stemmer, G.}, title = {MOBSY: Integration of vision and dialogue in service robots}, series = {Machine Vision and Applications}, journal = {Machine Vision and Applications}, year = {2003}, abstract = {This contribution introduces MOBSY, a fully integrated, autonomous mobile service robot system. It acts as an automatic dialogue-based receptionist for visitors to our institute. MOBSY incorporates many techniques from different research areas into one working stand-alone system. The techniques involved range from computer vision over speech understanding to classical robotics. Along with the two main aspects of vision and speech, we also focus on the integration aspect, both on the methodological and on the technical level. We describe the task and the techniques involved. Finally, we discuss the experiences that we gained with MOBSY during a live performance at our institute.}, language = {en} } @inproceedings{WenhardtSchmidtNiemann2002, author = {Wenhardt, S. and Schmidt, Jochen and Niemann, H.}, title = {Didaktische Aufbereitung von Methoden des Rechnersehens f{\"u}r virtuelle Vorlesungen}, series = {Forschungsbeitr{\"a}ge zur Didaktik der Informatik - Theorie, Praxis, Evaluation}, booktitle = {Forschungsbeitr{\"a}ge zur Didaktik der Informatik - Theorie, Praxis, Evaluation}, year = {2002}, abstract = {Dieser Artikel stellt ein Konzept f¨ur eine Online-Vorlesung im Rahmen der virtuellen Hochschule Bayern vor. Zun{\"a}chst werden kurz die fachlichen Inhalte erl¨autert, die es zu vermitteln gilt. Nach dieser Einf{\"u}hrung wird auf die Umsetzung der Inhalte in eine dem neuen Medium Internet angemessene Form eingegangen. Dies betrifft vor allem die ausgew{\"a}hlten Techniken, die zur Wissensvermittlung eingesetzt werden. Ein besonderer Schwerpunkt liegt auf der M{\"o}glichkeit durch Interaktivit{\"a}t das Wissen experimentell zu vertiefen und somit eine Verbindung zwischen dem theoretisch Gelernten und dem praktisch Erfahrenen herzustellen. Weiterhin wird eine Vielfalt an Kommunikationsm¨oglichkeiten vorgestellt, da Kommunikation eine wichtige soziale Komponente im Lernprozess und h¨aufig entscheidend f¨ur den Erfolg ist.}, language = {de} } @inproceedings{SchmidtVogtNiemann2002, author = {Schmidt, Jochen and Vogt, F. and Niemann, H.}, title = {Nonlinear Refinement of Camera Parameters using an Endoscopic Surgery Robot}, series = {Proceedings of IAPR Conference on Machine Vision Applications (MVA)}, booktitle = {Proceedings of IAPR Conference on Machine Vision Applications (MVA)}, year = {2002}, abstract = {We present an Approach for non linea roptimization of the parameters of an endoscopic camera mounted on a surgery robot. The goal is to generate a depth map for each image in order to enhance the quality of medical light fields. The pose information provided by the robot is used as an initialization, where especially the orientation isi naccurate. Refinement of intrinsic and extrinsic camera parameters is performed by minimizing the back-projectionerror of 3-D points that are reconstructed by triangulation from image Feature stracked over an image sequence. Optimization of the camera parameters results in an enhancement of Rendering Quality in two ways: More accurate parameters lead to better interpolation as well as to better depth maps for approximating the scenegeometry.}, language = {en} } @inproceedings{SchmidtNiemannVogt2002, author = {Schmidt, Jochen and Niemann, H. and Vogt, F.}, title = {Dense Disparity Maps in Real-Time with an Application to Augmented Reality}, series = {Proceedings Sixth IEEE Workshop on Applications of Computer Vision (WACV 2002), pages 225-230, Orlando, FL USA}, booktitle = {Proceedings Sixth IEEE Workshop on Applications of Computer Vision (WACV 2002), pages 225-230, Orlando, FL USA}, year = {2002}, abstract = {This work presents a technique for computing dense disparity maps from a binocular stereo camera system. The methods are applied in an Augmented Reality setting for combining real and virtual worlds with proper occlusions. The proposed stereo correspondence technique is based oil area matching and facilitates an efficient strategy by using the concept of a three-dimensional similarity accumulator whereby occlusions are detected and object boundaries are extracted correctly. The main contribution of this paper is the way we fill the accumulator using absolute differences of images and computing a mean filter on these difference images. This. is. where the main advantages of the accumulator approach can be exploited, since all entries can be computed in parallel and thus extremely efficient. Additionally, we-perform an asymmetric correction step and a post-processing of the disparity maps that maintains object edges.}, language = {en} } @inproceedings{SchmidtNiemann2002, author = {Schmidt, Jochen and Niemann, H.}, title = {Using Quaternions for Parametrizing 3D Rotations in Unconstrained Nonlinear Optimization}, series = {Vision, Modeling, and Visualization 2001, pages 399-406, Stuttgart, Germany}, booktitle = {Vision, Modeling, and Visualization 2001, pages 399-406, Stuttgart, Germany}, year = {2002}, abstract = {In this paper we address the problem of using quaternions in unconstrained nonlinear optimization of 3-D rotations. Quaternions representing rotations have four elements but only three degrees of freedom, since they must be of norm one. This constraint has to be taken into account when applying e.g. the Levenberg-Marquardt algorithm, a method for unconstrained nonlinear optimization widely used in computer vision. We propose an easy to use method for achieving this. Experiments using our parametrization in photo grammetric b{\"u}ndle -adjustment are presented at the end of the paper.}, language = {en} } @inproceedings{SchmidtScholzNiemann2001, author = {Schmidt, Jochen and Scholz, I. and Niemann, H.}, title = {Placing Arbitrary Objects in a Real Scene Using a Color Cube for Pose Estimation}, series = {Pattern Recognition, 23rd DAGM Symposium}, booktitle = {Pattern Recognition, 23rd DAGM Symposium}, year = {2001}, abstract = {We describe an Augmented Reality system using the corners of a color cube for camera calibration. In the augmented image the cube is replaced by a computer generated virtual object. The cube is localized in an image by the CSC color segmentation algorithm. The camera projection matrix is estimated with a linear method that is followed by a nonlinear refinement step. Because of possible missclassifications of the segmented color regions and the minimum number of point correspondences used for calibration, the estimated pose of the cube may be very erroneous for some frames; therefore we perform outlier detection and treatment for rendering the virtual object in an acceptable manner.}, language = {en} } @inproceedings{ScholzSchmidtNiemann2001, author = {Scholz, I. and Schmidt, Jochen and Niemann, H.}, title = {Farbbildverarbeitung unter Echtzeitbedingungen in der Augmented Reality}, series = {Workshop Farbbildverarbeitung, pages 59-65, Erlangen, Germany, 4.-5. Oktober 2001. Universit{\"a}t Erlangen-N{\"u}rnberg, Institut f{\"u}r Informatik}, booktitle = {Workshop Farbbildverarbeitung, pages 59-65, Erlangen, Germany, 4.-5. Oktober 2001. Universit{\"a}t Erlangen-N{\"u}rnberg, Institut f{\"u}r Informatik}, year = {2001}, abstract = {Es wird ein System aus der Augmented Reality (Erweiterte Reali{\"a}at, AR) vorgestellt, das zur Kamerakalibrierung einen farbigen W{\"u}rfel verwendet, der außerdem als Platzhalter f{\"u}r ein virtuelles Objekt dient. Zur Erkennung des W{\"u}rfels in einer Szene werden Methoden aus der Farbbildverarbeitung verwendet, wie der Color Structure Code (CSC) und die Klassifikation der entstehenden Regionen nach ihrer Farbe. Zur Beschleunigung der Segmentierung wird ein hierarchisches Verfahren eingesetzt.}, language = {de} } @article{ZobelDenzlerHeigletal.2001, author = {Zobel, M. and Denzler, J. and Heigl, B. and N{\"o}th, E. and Paulus, D. and Schmidt, Jochen and Stemmer, G.}, title = {Demonstration von Bildverarbeitung und Sprachverstehen in der Dienstleistungsrobotik}, series = {Autonome Mobile Systeme}, journal = {Autonome Mobile Systeme}, year = {2001}, abstract = {Die typischerweise gew{\"u}nschten Einsatzgebiete f{\"u}r Dienstleistungsroboter, z. B. Krankenh{\"a}user oder Seniorenheime, stellen sehr hohe Anforderungen an die Mensch-Maschine-Schnittstelle. Diese Erfordernisse gehen im Allgemeinen {\"u}ber die M{\"o}glichkeiten der Standardsensoren, wie Ultraschalloder Infrarotsensoren, hinaus. Es m{\"u}ssen daher erg{\"a}nzende Verfahren zum Einsatz kommen. Aus der Sicht der Mustererkennung sind die Nutzung des Rechnersehens und des nat{\"u}rlichsprachlichen Dialogs von besonderem Interesse. Dieser Beitrag stellt das mobile System MOBS Y vor. MOBS Y ist ein vollkommen integrierter autonomer mobiler Dienstleistungsroboter. Er dient als ein automatischer dialogbasierter Empfangsservice f{\"u}r Besucher unseres Instituts. MOBSY vereinigt vielf{\"a}ltige Methoden aus unterschiedlichsten Forschungsgebieten in einem eigenst{\"a}ndigen System. Die zum Einsatz kommenden Methoden aus dem Bereich der Bildverarbeitung reichen dabei von Objektklassifikation {\"u}ber visuelle Selbstlokalisierung und Rekalibrierung bis hin zu multiokularer Objektverfolgung. Die Dialogkomponente umfasst Methoden der Spracherkennung, des Sprachverstehens und die Generierung von Antworten. Im Beitrag werden die zu erf{\"u}llende Aufgabe und die einzelnen Verfahren dargestellt.}, language = {de} } @inproceedings{ZobelDenzlerHeigletal.2001, author = {Zobel, M. and Denzler, J. and Heigl, B. and N{\"o}th, E. and Paulus, D. and Schmidt, Jochen and Stemmer, G.}, title = {MOBSY: Integration of vision and dialogue in service robots}, series = {Computer Vision Systems, Proceedings Second International Workshop, ICVS 2001, Vancouver, Canada}, booktitle = {Computer Vision Systems, Proceedings Second International Workshop, ICVS 2001, Vancouver, Canada}, year = {2001}, abstract = {MOBSY is a fully integrated autonomous mobile service robot system. It acts as an automatic dialogue based receptionist for visitors of our institute. MOBSY incorporates many techniques from different research areas into one working stand-alone system. Especially the computer vision and dialogue aspects are of main interest from the pattern recognition's point of view. To summarize shortly, the involved techniques range from object classification over visual self-localization and recalibration to object tracking with multiple cameras. A dialogue component has to deal with speech recognition, understanding and answer generation. Further techniques needed are navigation, obstacle avoidance, and mechanisms to provide fault tolerant behavior. This contribution introduces our mobile system MOBSY. Among the main aspects vision and speech, we focus also on the integration aspect, both on the methodological and on the technical level. We describe the task and the involved techniques. Finally, we discuss the experiences that we gained with MOBSY during a live performance at the 25th anniversary of our institute}, language = {en} } @book{ErnstSchmidtBeneken2016, author = {Ernst, H. and Schmidt, Jochen and Beneken, Gerd}, title = {Grundkurs Informatik: Grundlagen und Konzepte f{\"u}r die erfolgreiche IT-Praxis - Eine umfassende, praxisorientierte Einf{\"u}hrung}, publisher = {Springer Vieweg}, address = {Berlin}, publisher = {Technische Hochschule Rosenheim}, year = {2016}, abstract = {Zahlensysteme und bin{\"a}re Arithmetik Nachricht und Information Codierung und Datenkompression Verschl{\"u}sselung Schaltalgebra, Schaltnetze und Elemente der Computerhardware Rechnerarchitekturen Rechnernetze Betriebssysteme Datenbanken Automatentheorie und formale Sprachen Berechenbarkeit und Komplexit{\"a}t Suchen und Sortieren B{\"a}ume und Graphen prozedurale und objektorientierte Programmierung (C und Java) Anwendungsprogrammierung im Internet (HTML, CSS, JavaScript und PHP) Software-Engineering}, language = {de} } @inproceedings{ZengerSchmidtKroedel2013, author = {Zenger, A. and Schmidt, Jochen and Kr{\"o}del, M.}, title = {Towards the Intelligent Home: Using Reinforcement-Learning for Optimal Heating Control}, series = {Advances in Artificial Intelligence, Proceedings of the 36th Annual Conference on AI, volume 8077 of Lecture Notes in Artificial Intelligence}, booktitle = {Advances in Artificial Intelligence, Proceedings of the 36th Annual Conference on AI, volume 8077 of Lecture Notes in Artificial Intelligence}, publisher = {Springer}, year = {2013}, abstract = {We propose a reinforcement learning approach to heating control in home automation, that can acquire a set of rules enabling an agent to heat a room to the desired temperature at a defined time while conserving as much energy as possible. Experimental results are presented that show the feasibility of our method.}, language = {en} } @article{DarmsFoelsterSchmidtetal.2010, author = {Darms, M. and F{\"o}lster, F. and Schmidt, Jochen and Fr{\"o}hlich, D. and Eckert, A.}, title = {Data Fusion Strategies in Advanced Driver Assistance Systems}, series = {SAE International Journal of Passenger Cars - Electronic and Electrical Systems}, journal = {SAE International Journal of Passenger Cars - Electronic and Electrical Systems}, year = {2010}, abstract = {Data fusion plays a central role in more and more automotive applications, especially for driver assistance systems. On the one hand the process of data fusion combines data and information to estimate or predict states of observed objects. On the other hand data fusion introduces abstraction layers for data description and allows building more flexible and modular systems.The data fusion process can be divided into a low-level processing (tracking and object discrimination) and a high level processing (situation assessment). High level processing becomes more and more the focus of current research as different assistance applications will be combined into one comprehensive assistance system. Different levels/strategies for data fusion can be distinguished: Fusion on raw data level, fusion on feature level and fusion on decision level. All fusion strategies can be found in current driver assistance implementations. The paper gives an overview of the different fusion strategies and shows their application in current driver assistance systems. For low level processing a raw data fusion approach in a stereo video system is described, as an example for feature level fusion the fusion of radar and camera data for tracking is explained. As an example for a high level fusion algorithm an approach for a situation assessment based on multiple sensors is given. The paper describes practical realizations of these examples and points out their potential to further increase traffic safety with reasonably low cost for the overall system.}, language = {en} } @inproceedings{WongYeapSchmidt2009, author = {Wong, C.K. and Yeap, W.K. and Schmidt, Jochen}, title = {Our Next Generation of Robotics Researchers? Teaching Robotics at Primary School Level.}, series = {Readings in Technology and Education: Proceedings of International Conference on Information Communication Technologies in Education}, booktitle = {Readings in Technology and Education: Proceedings of International Conference on Information Communication Technologies in Education}, year = {2009}, abstract = {In this paper, we present our experience in designing and teaching of our first robotics course for students at primary school level. The course was carried out over a comparatively short period of time, namely 6 weeks, 2 hours per week. In contrast to many other projects, we use robots that researchers used to conduct their research and discuss problems faced by these researchers. Thus, this is not a behavioural study but a hands-on learning experience for the students. The aim is to highlight the development of autonomous robots and artificial intelligence as well as to promote science and robotics in schools.}, language = {de} } @article{SchmidtNiemann2008, author = {Schmidt, Jochen and Niemann, H.}, title = {Data Selection for Hand-eye Calibration: A Vector Quantization Approach}, series = {The International Journal of Robotics Research}, journal = {The International Journal of Robotics Research}, year = {2008}, abstract = {This paper presents new vector quantization based methods for selecting well-suited data for hand-eye calibration from a given sequence of hand and eye movements. Data selection can improve the accuracy of classic hand-eye calibration, and make it possible in the first place in situations where the standard approach of manually selecting positions is inconvenient or even impossible, especially when using continuously recorded data. A variety of methods is proposed, which differ from each other in the dimensionality of the vector quantization compared to the degrees of freedom of the rotation representation, and how the rotation angle is incorporated. The performance of the proposed vector quantization based data selection methods is evaluated using data obtained from a manually moved optical tracking system (hand) and an endoscopic camera (eye).}, language = {en} } @incollection{YeapWongSchmidt2008, author = {Yeap, W.K. and Wong, C.K. and Schmidt, Jochen}, title = {Using a Mobile Robot to Test a Theory of Cognitive Mapping.}, series = {Robotics and Cognitive Approaches to Spatial Mapping, Springer Tracts in Advanced Robotics}, booktitle = {Robotics and Cognitive Approaches to Spatial Mapping, Springer Tracts in Advanced Robotics}, publisher = {Springer}, address = {Berlin}, publisher = {Technische Hochschule Rosenheim}, year = {2008}, abstract = {This paper describes using a mobile robot, equipped with some sonar sensors and an odometer, to test navigation through the use of a cognitive map. The robot explores an office environment, computes a cognitive map, which is a network of ASRs [36, 35], and attempts to find its way home. Ten trials were conducted and the robot found its way home each time. From four random positions in two trials, the robot estimated the home position relative to its current position reasonably accurately. Our robot does not solve the simultaneous localization and mapping problem and the map computed is fuzzy and inaccurate with much of the details missing. In each homeward journey, it computes a new cognitive map of the same part of the environment, as seen from the perspective of the homeward journey. We show how the robot uses distance information from both maps to find its way home.}, language = {en} } @inproceedings{SchmidtWongYeap2007, author = {Schmidt, Jochen and Wong, C.K. and Yeap, W.K.}, title = {Spatial Information Extraction for Cognitive Mapping with a Mobile Robot.}, series = {Conference on Spatial Information Theory: COSIT'07, Melbourne, Australia. Volume 4736 of Lecture Notes in Computer Science}, booktitle = {Conference on Spatial Information Theory: COSIT'07, Melbourne, Australia. Volume 4736 of Lecture Notes in Computer Science}, year = {2007}, abstract = {When animals (including humans) first explore a new environment, what they remember is fragmentary knowledge about the places visited. Yet, they have to use such fragmentary knowledge to find their way home. Humans naturally use more powerful heuristics while lower animals have shown to develop a variety of methods that tend to utilize two key pieces of information, namely distance and orientation information. Their methods differ depending on how they sense their environment. Could a mobile robot be used to investigate the nature of such a process, commonly referred to in the psychological literature as cognitive mapping? What might be computed in the initial explorations and how is the resulting "cognitive map" be used for localization? In this paper, we present an approach using a mobile robot to generate a "cognitive map", the main focus being on experiments conducted in large spaces that the robot cannot apprehend at once due to the very limited range of its sensors. The robot computes a "cognitive map" and uses distance and orientation information for localization.}, language = {en} } @article{SchmidtWongYeap2007, author = {Schmidt, Jochen and Wong, C.K. and Yeap, W.K.}, title = {Localisation and Mapping with a Mobile Robot Using Sparse Range Data}, series = {Autonomous Robots and Agents, Studies in Computational Intelligence (SCI),}, journal = {Autonomous Robots and Agents, Studies in Computational Intelligence (SCI),}, publisher = {Springer}, year = {2007}, abstract = {We present an approach for indoor mapping and localisation using sparse range data, acquired by a mobile robot equipped with sonar sensors. The chapter consists of two main parts. First, a split and merge based method for dividing a given metric map into distinct regions is presented, thus creating a topological map in a metric framework. Spatial information extracted from this map is then used for self-localisation on the return home journey. The robot computes local confidence maps for two simple localisation strategies based on distance and relative orientation of regions. These local maps are then fused to produce overall confidence maps.}, language = {de} } @inproceedings{WongYeapSchmidt2007, author = {Wong, C.K. and Yeap, W.K. and Schmidt, Jochen}, title = {Using a Mobile Robot for Cognitive Mapping}, series = {International Joint Conference on Artificial Intelligence (IJCAI), pages 2243-2248, Hyderabad, India, 2007}, booktitle = {International Joint Conference on Artificial Intelligence (IJCAI), pages 2243-2248, Hyderabad, India, 2007}, year = {2007}, abstract = {When animals (including humans) first explore a new environment, what they remember is fragmentary knowledge about the places visited. Yet, they have to use such fragmentary knowledge to find their way home. Humans naturally use more powerful heuristics while lower animals have shown to developa varietyof methodsthat tend to utilize two key pieces of information,namely distance and orientation information. Their methods differ depending on how they sense their environment. Could a mobile robot be used to investigate the nature of such a process, commonly referred to in the psychological literature as cognitive mapping? What might be computed in the initial explorations and how is the resulting "cognitive map" be used to return home? In this paper, we presented a novel approach using a mobile robot to do cognitive mapping. Our robot computes a "cognitive map" and uses distance and orientation information to find its way home. The process developed provides interesting insights into the nature of cognitive mapping and encourages us to use a mobile robot to do cognitive mapping in the future, as opposed to its popular use in robot mapping.}, language = {en} } @book{Schmidt2006, author = {Schmidt, Jochen}, title = {3-D Reconstruction and Stereo Self-Calibration for Augmented Reality}, publisher = {Logos}, address = {Berlin}, publisher = {Technische Hochschule Rosenheim}, year = {2006}, abstract = {The main focus of this work is the development of new methods for the self-calibration of a rigid stereo camera system. However, many of the algorithms introduced here have a wider impact, particularly in robot hand-eye calibration with all its different areas of application. Stereo self-calibration refers to the computation of the intrinsic and extrinsic parameters of a stereo rig using neither a priori knowledge on the movement of the rig nor on the geometry of the observed scene. The stereo parameters obtained by self-calibration, namely rotation and translation from left to right camera, are used for computing depth maps for both images, which are applied for rendering correctly occluded virtual objects into a real scene (Augmented Reality). The proposed methods were evaluated on real and synthetic data and compared to algorithms from the literature. In addition to a stereo rig, an optical tracking system with a camera mounted on an endoscope was calibrated without a calibration pattern using the proposed extended hand-eye calibration algorithm. The self-calibration methods developed in this work have a number of features, which make them easily applicable in practice: They rely on temporal feature tracking only, as this monocular tracking in a continuous image sequence is much easier than left-to-right tracking when the camera parameters are still unknown. Intrinsic and extrinsic camera parameters are computed during the self-calibration process, i.e., no calibration pattern is required. The proposed stereo self-calibration approach can also be used for extended hand-eye calibration, where the eye poses are obtained by structure-from-motion rather than from a calibration pattern. An inherent problem to hand-eye calibration is that it requires at least two general movements of the cameras in order to compute the rigid transformation. If the motion is not general enough, only a part of the parameters can be obtained, which would not be sufficient for computing depth maps. Therefore, a main part of this work discusses methods for data selection that increase the robustness of hand-eye calibration. Different new approaches are shown, the most successful ones being based on vector quantization. The data selection algorithms developed in this work can not only be used for stereo self-calibration, but also for classic robot hand-eye calibration, and they are independent of the actually used hand-eye calibration algorithm.}, language = {en} } @inproceedings{SchmidtWongYeap2006, author = {Schmidt, Jochen and Wong, C.K. and Yeap, W.K.}, title = {Mapping and Localisation with Sparse Range Data}, series = {International Conference on Autonomous Robots and Agents (ICARA), pages 497-502, Palmerston North, New Zealand}, booktitle = {International Conference on Autonomous Robots and Agents (ICARA), pages 497-502, Palmerston North, New Zealand}, year = {2006}, abstract = {We present an approach for indoor mapping and localization with a mobile robot using sparse range data, without the need for solving the SLAM problem. The paper consists of two main parts. First, a split and merge based method for dividing a given metric map into distinct regions is presented, thus creating a topological map in a metric framework. Spatial information extracted from this map is then used for self-localization. The robot computes local confidence maps for two simple localization strategies based on distance and relative orientation of regions. The local confidence maps are then fused using an approach adapted from computer vision to produce overall confidence maps. Experiments on data acquired by mobile robots equipped with sonar sensors are presented.}, language = {en} } @inproceedings{SchmidtWongYeap2006, author = {Schmidt, Jochen and Wong, C.K. and Yeap, W.K.}, title = {A Split \& Merge Approach to Metric-Topological Map-Building}, series = {International Conference on Pattern Recognition (ICPR), volume 3, pages 1069-1072, Hong Kong}, booktitle = {International Conference on Pattern Recognition (ICPR), volume 3, pages 1069-1072, Hong Kong}, year = {2006}, abstract = {We present a novel split and merge based method for dividing a given metric map into distinct regions, thus effectively creating a topological map on top of a metric one. The initial metric map is obtained from range data that are converted to a geometric map consisting of linear approximations of the indoor environment. The splitting is done using an objective function that computes the quality of a region, based on criteria such as the average region width (to distinguish big rooms from corridors) and overall direction (which accounts for sharp bends). A regularization term is used in order to avoid the formation of very small regions, which may originate from missing or unreliable sensor data. Experiments based on data acquired by a mobile robot equipped with sonar sensors are presented, which demonstrate the capabilities of the proposed method.}, language = {en} } @inproceedings{WongYeapSchmidt2006, author = {Wong, C.K. and Yeap, W.K. and Schmidt, Jochen}, title = {Computing a Network of ASRs Using a Mobile Robot Equipped with Sonar Sensors}, series = {International Conference on Robotics, Automation, and Mechatronics (RAM), pages 57-62, Bangkok, Thailand}, booktitle = {International Conference on Robotics, Automation, and Mechatronics (RAM), pages 57-62, Bangkok, Thailand}, year = {2006}, abstract = {This paper presents a novel algorithm for computing absolute space representations (ASRs) in Yeap, W.K. and Jefferies, M. (1988) for mobile robots equipped with sonar sensors and an odometer. The robot is allowed to wander freely (i.e. without following any fixed path) along the corridors in an office environment from a given start point to an end point. It then wanders from the end point back to the start point. The resulting ASRs computed in both directions are shown}, language = {en} } @inproceedings{YeapWongSchmidt2006, author = {Yeap, W.K. and Wong, C.K. and Schmidt, Jochen}, title = {Initial Experiments with a Mobile Robot on Cognitive Mapping}, series = {International Symposium on Practical Cognitive Agents and Robots (PCAR 2006), pages 221-230, Perth, Australia}, booktitle = {International Symposium on Practical Cognitive Agents and Robots (PCAR 2006), pages 221-230, Perth, Australia}, year = {2006}, abstract = {This paper shows how a mobile robot equipped with sonar sensors and an odometer is used to test ideas about cognitive mapping. The robot first explores an office environment and computes a "cognitive map" which is a network of ASRs [1]. The robot generates two networks, one for the outward journey and the other for the journey home. It is shown that both networks are different. The two networks, however, are not merged to form a single network. Instead, the robot attempts to use distance information implicit in the shape of each ASR to find its way home. At random positions in the homeward journey, the robot calculates its orientation towards home. The robot's performances for both problems are evaluated and found to be surprisingly accurate.}, language = {en} } @inproceedings{SchmidtVogtNiemann2005, author = {Schmidt, Jochen and Vogt, F. and Niemann, H.}, title = {Calibration-Free Hand-Eye Calibration: A Structure-from-Motion Approach}, series = {Joint Pattern Recognition Symposium}, booktitle = {Joint Pattern Recognition Symposium}, publisher = {Springer}, address = {Berlin}, year = {2005}, abstract = {The paper presents an extended hand-eye calibration approach that, in contrast to the standard method, does not require a calibration pattern for determining camera position and orientation. Instead, a structure-from-motion algorithm is applied for obtaining the eye-data that is necessary for computing the unknown hand-eye transformation. Different ways of extending the standard algorithm are presented, which mainly involves the estimation of a scale factor in addition to rotation and translation. The proposed methods are experimentally compared using data obtained from an optical tracking system that determines the pose of an endoscopic camera. The approach is of special interest in our clinical setup, as the usage of an unsterile calibration pattern is difficult in a sterile environment.}, language = {en} } @inproceedings{ZinsslerSchmidtNiemann2005, author = {Zinßler, T. and Schmidt, Jochen and Niemann, H.}, title = {Point Set Registration with Integrated Scale Estimation}, series = {Proceedings of the Eighth International Conference on Pattern Recognition and Image Processing (PRIP 2005), pages 116-119, Minsk, Republic of Belarus}, booktitle = {Proceedings of the Eighth International Conference on Pattern Recognition and Image Processing (PRIP 2005), pages 116-119, Minsk, Republic of Belarus}, year = {2005}, abstract = {Wepresentaniterativeregistrationalgorithmfor aligning two differently scaled 3-D point sets. It extends the popular Iterative Closest Point (ICP) algorithm by estimating a scale factor between the two point sets in every iteration. The presented algorithm is especially useful for the registration of point sets generated by structure-frommotion algorithms, which only reconstruct the 3-D structure of a scene upto scale. LiketheoriginalICPalgorithm,thepresentedalgorithm requires a rough pre-alignment of the point sets. In order to determine the necessary accuracy of the pre-alignment, wehaveexperimentallyevaluatedthebasinofconvergence of the algorithm with respect to the initial rotation, translation, andscale factor between the two point sets.}, language = {en} } @inproceedings{SchmidtVogtNiemann2005, author = {Schmidt, Jochen and Vogt, F. and Niemann, H.}, title = {Vector Quantization Based Data Selection for Hand-Eye Calibration}, series = {Vision, Modeling, and Visualization 2004, pages 21-28, Stanford, USA}, booktitle = {Vision, Modeling, and Visualization 2004, pages 21-28, Stanford, USA}, year = {2005}, abstract = {The paper presents a new vectorquantization based Approach for selecting well-suited data for hand-eye calibration from a given sequence of hand and eye movements. Data selection is essential if control of the movements used for calibration is not possible, especially when using continuously recorded data. The new algorithm is compared to another method for data selection as well as to the processing of subsequent movements. Experimental results on real and synthetic data sets show the superior performance of the new approach with respect to calibration errors and computation time. Real data has been obtained from an optical tracking system and a camera mounted on an endoscope, the goal being the reconstruction of medical lightfields.}, language = {en} } @article{VogtKruegerSchmidtetal.2004, author = {Vogt, F. and Kr{\"u}ger, S. and Schmidt, Jochen and Paulus, D. and Niemann, H. and Hohenberger, W. and C. H., Schick}, title = {Light Fields for Minimal Invasive Surgery Using an Endoscope Positioning Robot}, series = {Methods of Information in Medicine}, journal = {Methods of Information in Medicine}, year = {2004}, abstract = {OBJECTIVES: To generate a fast and robust 3-D visualization of the operation site during minimal invasive surgery. METHODS: Light fields are used to model and visualize the 3-D operation site during minimal invasive surgery. An endoscope positioning robot provides the position and orientation of the endoscope. The a priori un-known transformation from the endoscope plug to the endoscope tip (hand-eye transformation) can either be determined by a three-step algorithm, which includes measuring the endoscope length by hand or by using an automatic hand-eye calibration algorithm. Both methods are described in this paper and their respective computation times and accuracies are compared. RESULTS: Light fields were generated during real operations and in the laboratory. The comparison of the two methods to determine the unknown hand-eye transformation was done in the laboratory. The results which are being presented in this paper are: rendered images from the generated light fields, the calculated extrinsic camera parameters and their accuracies with respect to the applied hand-eye calibration method, and computation times. CONCLUSION: Using an endoscope positioning robot and knowing the hand-eye transformation, the fast and robust generation of light fields for minimal invasive surgery is possible.}, language = {en} } @inproceedings{SchmidtVogtNiemann2003, author = {Schmidt, Jochen and Vogt, F. and Niemann, H.}, title = {Robust Hand-Eye Calibration of an Endoscopic Surgery Robot Using Dual Quaternions}, series = {Pattern Recognition, Proceedings of the 25th DAGM Symposium, Magdeburg}, booktitle = {Pattern Recognition, Proceedings of the 25th DAGM Symposium, Magdeburg}, year = {2003}, abstract = {This paper presents an approach for applying a dual quaternion hand-eye calibration algorithm on an endoscopic surgery robot. Special focus is on robustness, since the error of position and orientation data provided by the robot can be large depending on the movement actually executed. Another inherent problem to all hand-eye calibration methods is that non-parallel rotation axes must be used; otherwise, the calibration will fail. Thus we propose a method for increasing the numerical stability by selecting an optimal set of relative movements from the recorded sequence. Experimental evaluation shows the error in the estimated transformation when using well-suited and ill-suited data. Additionally, we show how a RANSAC approach can be used for eliminating the erroneous robot data from the selected movements.}, language = {en} } @inproceedings{ZinsserSchmidtNiemann2003, author = {Zinßer, T. and Schmidt, Jochen and Niemann, H.}, title = {A Refined ICP Algorithm for Robust 3-D Correspondence Estimation}, series = {Proceedings of the IEEE International Conference on Image Processing, volume 2, pages 695-698, Barcelona, Spain}, booktitle = {Proceedings of the IEEE International Conference on Image Processing, volume 2, pages 695-698, Barcelona, Spain}, year = {2003}, abstract = {Robust registration of two 3-D point sets is a common problem in computer vision. The iterative closest point (ICP) algorithm is undoubtedly the most popular algorithm for solving this kind of problem. In this paper, we present the Picky ICP algorithm, which has been created by merging several extensions of the standard ICP algorithm, thus improving its robustness and computation time. Using pure 3-D point sets as input data, we do not consider additional information like point color or neighborhood relations. In addition to the standard ICP algorithm and the Picky ICP algorithm proposed in this paper, a robust algorithm due to Masuda and Yokoya and the RICP algorithm by Trucco et al. are evaluated. We have experimentally determined the basin of convergence, robustness to noise and outliers, and computation time of these four ICP based algorithms}, language = {en} } @techreport{AuerBenekenBrummeretal.2017, author = {Auer, Veronika and Beneken, Gerd and Brummer, Benjamin and Ch{\^a}teauvieux-Hellwig, Camille and Engler, Benjamin and Gilly, Alexander and Hagl, Rainer and Hummel, Felix and Hummel, Sabine and Karlinger, Peter and Knorr, Ludwig and K{\"o}ster, Heinrich and Kucich, Martin and Mecking, Simon and Rabold, Andreas and Sandor, Viktor and Schalk, Daniel and Schanda, Ulrich and Schemme, Michael and Schiffner, Ivonne and Schmidt, Jochen and Schugmann, Reinhard and Seidlmeier, Heinrich and Sigg, Ferdinand and Stauss, Kilian and Sussmann, Monika and Wellisch, Ulrich and Wenninger, Marc and Wittmann, Josef and Zscheile, Matthias}, title = {Jahresbericht 2016, Forschung - Entwicklung - Innovation}, organization = {Hochschule Rosenheim}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:861-opus4-12282}, pages = {68}, year = {2017}, abstract = {Mit dem j{\"a}hrlich erscheinenden Forschungsbericht m{\"o}chte die Hochschule Rosenheim einen Einblick in ihre vielf{\"a}ltigen Projekte und Aktivit{\"a}ten der angewandten Forschung und Entwicklung geben. Im Jahresbericht 2016 wird {\"u}ber Vorhaben im Jahr 2016 berichtet.}, language = {de} } @techreport{AckermannAngermeierAueretal.2014, author = {Ackermann, Timo and Angermeier, Martin and Auer, Veronika and Beneken, Gerd and Bernhardt, Andreas and Botsch, Rafael and B{\"u}cker, Dominikus and Hager, Ralf and Hauck-Bauer, Eva and Heigl, Martin and Hirschm{\"u}ller, Sebastian and H{\"o}llm{\"u}ller, Janett and Karlinger, Peter and K{\"o}ster, Heinrich and Krause, Harald and Kucich, Martin and Matthias, Kira and Patzl, Victoria and Pl{\"o}nnigs, Ren{\´e} and Posch, Georg and Schanda, Ulrich and Scheerer, Josua and Schlecht, Johannes and Schmidt, Jochen and Stichler, Markus and Uhl, Cornelius and Viehhauser, Peter and Weber, Gabriel and Wolf, Christopher and Zagler, Stefan and Zentgraf, Peter}, title = {Forschungsbericht 2013}, organization = {Hochschule Rosenheim}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:861-opus4-12324}, pages = {56}, year = {2014}, abstract = {Mit dem j{\"a}hrlich erscheinenden Forschungsbericht m{\"o}chte die Hochschule Rosenheim einen Einblick in ihre vielf{\"a}ltigen Projekte und Aktivit{\"a}ten der angewandten Forschung und Entwicklung geben. Im Forschungsbericht 2013 wird {\"u}ber Vorhaben im Jahr 2013 berichtet.}, language = {de} } @article{WenningerBayerlSchmidtetal.2019, author = {Wenninger, Marc and Bayerl, Sebastian P. and Schmidt, Jochen and Riedhammer, Korbinian}, title = {Timage - A Robust Time Series Classification Pipeline}, series = {Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series. ICANN 2019. Lecture Notes in Computer Science}, volume = {11730}, journal = {Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series. ICANN 2019. Lecture Notes in Computer Science}, publisher = {Springer}, address = {Cham}, year = {2019}, abstract = {Time series are series of values ordered by time. This kind of data can be found in many real world settings. Classifying time series is a difficult task and an active area of research. This paper investigates the use of transfer learning in Deep Neural Networks and a 2D representation of time series known as Recurrence Plots. In order to utilize the research done in the area of image classification, where Deep Neural Networks have achieved very good results, we use a Residual Neural Networks architecture known as ResNet. As preprocessing of time series is a major part of every time series classification pipeline, the method proposed simplifies this step and requires only few parameters. For the first time we propose a method for multi time series classification: Training a single network to classify all datasets in the archive with one network. We are among the first to evaluate the method on the latest 2018 release of the UCR archive, a well established time series classification benchmarking dataset.}, language = {en} } @article{WenningerStecherSchmidt2019, author = {Wenninger, Marc and Stecher, Dominik and Schmidt, Jochen}, title = {SVM-Based Segmentation of Home Appliance Energy Measurements}, series = {Proceedings 8th IEEE International Conference on Machine Learning and Applications -ICMLA 2019}, journal = {Proceedings 8th IEEE International Conference on Machine Learning and Applications -ICMLA 2019}, pages = {1666 -- 1670}, year = {2019}, abstract = {Generating a more detailed understanding of domestic electricity demand is a major topic for energy suppliers and householders in times of climate change. Over the years there have been many studies on consumption feedback systems to inform householders, disaggregation algorithms for Non-Intrusive-Load-Monitoring (NILM), Real-Time-Pricing (RTP) to promote supply aware behavior through monetary incentives and appliance usage prediction algorithms. While these studies are vital steps towards energy awareness, one of the most fundamental challenges has not yet been tackled: Automated detection of start and stop of usage cycles of household appliances. We argue that most research efforts in this area will benefit from a reliable segmentation method to provide accurate usage information. We propose a SVM-based segmentation method for home appliances such as dishwashers and washing machines. The method is evaluated using manually annotated electricity measurements of five different appliances recorded over two years in multiple households.}, language = {en} } @book{Schmidt2019, author = {Schmidt, Jochen}, title = {Grundkurs Informatik - Das {\"U}bungsbuch: 148 Aufgaben mit L{\"o}sungen}, edition = {1}, publisher = {Springer Vieweg}, address = {Wiesbaden}, isbn = {978-3658259440}, publisher = {Technische Hochschule Rosenheim}, pages = {196}, year = {2019}, language = {de} } @article{NeumayerStecherGrimmetal.2023, author = {Neumayer, Martin and Stecher, Dominik and Grimm, Sebastian and Maier, Andreas and B{\"u}cker, Dominikus and Schmidt, Jochen}, title = {Fault and anomaly detection in district heating substations: A survey on methodology and data sets}, series = {Energy}, volume = {276}, journal = {Energy}, doi = {10.1016/j.energy.2023.127569}, pages = {127569}, year = {2023}, abstract = {District heating systems are essential building blocks for affordable, low-carbon heat supply. Early detection and elimination of faults is crucial for the efficiency of these systems and necessary to achieve the low temperatures targeted for 4th generation district heating systems. Especially methods for fault and anomaly detection in district heating substations are currently of high interest, as faults in substations can be repaired quickly and inexpensively, and smart meter data are becoming widely available. In this paper, we review recent scientific publications presenting data-driven approaches for fault and anomaly detection in district heating substations with a focus on methods and data sets. Our review indicates that researchers use a wide variety of methods, mostly focusing on unsupervised anomaly detection rather than fault detection. This is due to a lack of labeled data sets, preventing the use of supervised learning methods and quantitative analysis. Together with the lack of publicly available data sets, this impedes the accurate comparison of individual methods. To overcome this impediment, increase the comparability of different methods and foster competition, future research should focus on establishing publicly available data sets, and industry-relevant metrics as benchmarks.}, language = {en} } @book{ErnstSchmidtBeneken2023, author = {Ernst, Hartmut and Schmidt, Jochen and Beneken, Gerd}, title = {Grundkurs Informatik: Grundlagen und Konzepte f{\"u}r die erfolgreiche IT-Praxis - Eine umfassende, praxisorientierte Einf{\"u}hrung}, edition = {8}, publisher = {Springer Vieweg}, address = {Wiesbaden}, isbn = {9783658417789}, doi = {10.1007/978-3-658-41779-6}, publisher = {Technische Hochschule Rosenheim}, pages = {915}, year = {2023}, abstract = {Das Buch bietet eine umfassende und praxisorientierte Einf{\"u}hrung in die wesentlichen Grundlagen und Konzepte der Informatik. Es umfasst den Stoff, der typischerweise in den ersten Semestern eines Informatikstudiums vermittelt wird, vertieft Zusammenh{\"a}nge, die dar{\"u}ber hinausgehen und macht sie verst{\"a}ndlich. Die Themenauswahl orientiert sich an der langfristigen Relevanz f{\"u}r die praktische Anwendung. Praxisnah und aktuell werden die Inhalte f{\"u}r Studierende der Informatik und verwandter Studieng{\"a}nge sowie f{\"u}r im Beruf stehende Praktiker vermittelt.}, language = {de} } @book{Schmidt2023, author = {Schmidt, Jochen}, title = {Grundkurs Informatik - Das {\"U}bungsbuch: 163 Aufgaben mit L{\"o}sungen}, edition = {3}, publisher = {Springer Vieweg}, address = {Wiesbaden}, isbn = {978-3658434427}, doi = {10.1007/978-3-658-43443-4}, publisher = {Technische Hochschule Rosenheim}, pages = {216}, year = {2023}, abstract = {Das Buch richtet sich an Studierende der Informatik oder verwandter Studieng{\"a}nge und enth{\"a}lt {\"U}bungsaufgaben mit L{\"o}sungen aus Gebieten, die typischerweise in den ersten Semestern als Grundlagen behandelt werden. Ausgenommen ist der Bereich des Programmierens. Das Buch erg{\"a}nzt den Grundkurs Informatik mit {\"U}bungen zu ausgew{\"a}hlten Kapiteln, ist aber auch in Kombination mit anderen Lehrb{\"u}chern verwendbar.}, language = {de} }