VDI Verlag eLibrary

Autonomous Systems 2018

Maria M. Kubek (ed.), Zhong Li (ed.)

Series: Informatik/ Kommunikation

Volume 862 2018

Results in this title

P. Meesad Keynote 1: Deep Learning and Applications S. 1

„… 1 Keynote 1: Deep Learning and Applications Phayung Meesad Faculty of Information Technology King …” „… Mongkut’s University of Technology North Bangkok, Thailand Abstract: Deep Learning has been extremely …” „… in Deep Learning fields. CNNs are popular in image processing while LSTMs seem to play big roles in …”

Titelei/Inhaltsverzeichnis S. I-VI

„… Systems – Data Interferences – Data Assessments – Decentralised Search – Machine Learning – Deep Learning …” „… , August 2018 Mario M. Kubek Zhong Li V Contents Keynotes Keynote 1: Deep Learning and Applications P …” „… stochastic methods, data interferences as well as machine learning and search in decentralised systems …”

N.A. Akwir, M.K. Mutengi, W.V. Kambale, J.C. Chedjou, K. Kyamakya A Fully Neurocomputing based Traffic Modelling-and-Simulation Concept S. 131-150

„… the respective accuracy characteristics. Lately, the use of deep learning becomes more and more …” „… al. [13] and Huang et al. [14], just to name few, have exploited different deep learning techniques …” „… their efficiency in many areas in science and engineering due to their learning and lately deep learning …”

M. Kubek Library Services in Decentralised Web Search Systems S. 87-100

„… definitely a time-consuming learning process in which the interaction with their users plays an important …” „… knowledge gathered and the experienced process of knowledge acquisition. It usually requires a deep study of …” „… learning, ordering and cataloguing process can be implemented by applying specific algorithms and technical …”

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ELIV 2017

VDI Wissensforum GmbH (ed.)

Series: VDI-Berichte

Volume 2299 2017

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P. Ott, C. Speck, G. Matenaer Deep end-to-end Learning im Automotivebereich /Deep end-to-end learning in automotive S. 49-50

„… Deep End-to-End Learning in Automotive … and a platform to facilitate such learning Patrick …” „… the deep learning models. We use the task of automated semantic annotation to showcase the functioning …” „… of visual deep learning models on a technical yet uncomplicated level. A general introduction to …”

U. Muller, L. D. Jackel, J. Langenwalter Teaching a car to drive – Automating the extraction of domain knowledge by observing human drivers /Teaching a car to drive – Automating the extraction of domain knowledge by observing human drivers S. 13-14

„… the neural network and discuss the results. This learning-based technology is part of an end-to-end …” „… Abstract We demonstrate that deep neural networks can learn autonomous driving related tasks that were …” „… execution of maneuvers can be performed without relying solely on localization and HD maps. We teach deep …”

R. Straschill, T. Schäfer Anwendung etablierter Methoden zur Quantifizierung von Testabdeckung zur Sicherstellung der Sicherheit selbstlernender Systeme /Accepting uncertainty – Applying proven methods for quantifying test res... S. 97-98

„… artificial intelligence (AI), especially the disciplines of Deep Learning / Neuronal Networks, worsened the …” „… to ensure safety compliance of self-learning systems Rainer Straschill, Tobias Schäfer, FEV GmbH …” „… Automation, and the introduction of advanced self-learning systems for automotive use, designers, OEMs and …”

Titelei/Inhaltsverzeichnis S. I-XV

„… vehicle data 47 P. Ott, C. Speck, G. Matenaer Deep end-to-end Learning im Automotivebereich Deep …” „… end-to-end learning in automotive 49 J. Kirschbaum Das digitale Abbild der Umgebung zur Generierung …” „… self-learning systems 97 P. Ginal, H. Dörr Testautomatisierung im praktischen Einsatz bei Valeo Siemens …”

S. Waschul, B. Iske, C. Raksch, T. Führer Hochautomatisiertes Fahren (HAF) und Parken (HAP) – Trends und Herausforderungen /Highly automated driving (HAD) and parking (HAP) –Trends and challenges S. 9-10

„… ) including video processing and computing power for deep learning net- VDI-Berichte Nr. 2299, 201710 …”

doi.org/10.51202/9783181022993

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Deep Learning With Very Few Training Examples

Christoph Reinders

Series: Informatik/ Kommunikation

Volume 889 2025

doi.org/10.51202/9783186889102

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Künstliche Intelligenz in der Produktion

Christian Brecher, Jörg Krüger, Eckart Uhlmann, Alexander Verl, Oliver Riedel, Armin Lechler

Series: Fertigungstechnik

Volume 709 2022

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J. Lehr, J. Krüger Deep-Learning Plattform für dezentrale Bauteilerkennung S. 34-44

„… 34 Deep-Learning Plattform für dezentrale BauteilerkennungDeep-Learning Plattform für dezentral …” „… Bauteilerkennung 34 4 Deep-Learning Plattform für dezentrale Bauteilerkennung J. Lehr, J. Krüger 4.1 Einleitung …” „… auf einem 36 Deep-Learning Plattform für dezentrale BauteilerkennungDeep-Learning Plattform für …”

R. Gulde, F. Busch, O. Riedel Transfer-Learning Techniken zur Detektion von Greifpunkten für die robotergestützte Manipulation in der Produktion S. 45-56

„… vortrainiertes Deep- Learning-Modell für das Transfer-Learning mit eigenen Daten verwenden zu können. Dieses …” „… Lösungsstrategie, Deep-Learning-Methoden zur Erkennung von Griffpunkten an Objekten einzusetzen. Dabei drückt ein …” „… benötigte Rechenleistung zur Verfügung, um Deep-Learning-Algorithmen zu trainieren [8]. Diese Arbeit …”

Titelei/Inhaltsverzeichnis S. I-VI

„… .Für die Dokumentation: Maschinelles Lernen – Bildverarbeitung – Roboter – Deep-Learning – Handhabung …” „… processing – robotics – deep learning – handling – manufacturing – automation – human-robot collaboration …” „… , - Roboterbahnplanung mit Reinforcement-Learning, - Robotergreifplanung mit Deep Learning, - Bildbasierte …”

F. Jaensch, A. Verl Reinforcement Learning am Digitalen Zwilling für die Handhabung flexibler Objekte S. 23-33

„… effizienten Stabilisieren des Kabels im freien Raum Der verwendete Agent ist ein DeepQ-Learning …” „… . Dafür wurde ein DeepQ Reinforcement Learning Algorithmus ohne Anpassung an das Environment gekoppelt und …” „… .: Deep Reinforcement Learning with Double Q-learning 2015. [30] Wang, Z.; Schaul, T.; Hessel, M.; van …”

O. Petrovic, S. Storms, C. Brecher Framework für die Einbindung von ML-Verfahren in die MRK-basierte Montage S. 1-12

„… Applikationen in der MRK beleuchtet. 1.2.1 Machine Learning ML und im speziellen Deep Learning (DL) ist eine …” „… Vieweg, 2018, S. 239–260. [9] Wick, C.: Deep Learning. In: Informatik-Spektrum. 40. Jg., 2017, Nr. 1, S …” „… ] He, K.; Zhang, X.; Ren, S.; Sun, J.: Deep Residual Learning for Image Recognition. In: 29th IEEE …”

M. Schlüter, C. Briese, J. Krüger Bildbasierte Erfassung von Stammdaten ermöglicht Wiedererkennung von Bauteilen mit Neuronalen Netzen in der Logistik S. 13-22

„… erfolgreichen Anlernen von den erwähnten CNNs, auch „Deep Learning“ genannt, ist der gezielte Aufbau von …” „… Logistik 22 Jürgen Schmidhuber. “Deep learning in neural networks: An overview”. In: Neural Networks 61 …” „… : https://www.sciencedirect.com/science/article/pii/S0893608014002135. Ian Goodfellow, Yoshua Bengio und Aaron Courville. Deep Learning …”

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AgEng LAND.TECHNIK 2022

VDI Wissensforum GmbH (ed.)

Series: VDI-Berichte

Volume 2406 2022

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D. H. Basavegowda, C. Weltzien High Nature Value grassland identification using deep learning S. 375-380

„… High Nature Value grassland identification using deep learning Deepak H. Basavegowda, Cornelia …” „… problem in computer vision. Since the introduction of deep neural networks (DNNs), deep learning …” „… . Environ. 201 (2017) 12–23. [8] Y. LeCun, Y. Bengio, G. Hinton, Deep learning, Nature. 521 (2015) 436–444 …”

A. Tempelaere, H. Minh Phan, T. Van De Looverbosch, P. Verboven, B. Nicolai Non-destructive internal disorder detection in pear fruit using X-ray radiographs and deep learning S. 517-524

„… Non-destructive internal disorder detection in pear fruit using X-ray radiographs and deep learning …” „… quality based on the radiography data. In a recent subfield of AI, i.e. supervised deep learning (DL …” „… deep learning,” Expert Syst. Appl., vol. 176, no. March, p. 114925, 2021, doi: 10.1016/j.eswa …”

A. Panambilly, P. Schade Smart Constituent Sensing using HarvestLabTM 3000 – An innovative NIR based Constituent Sensing solution S. 335-342

„… augmented sensor system together with advanced deep learning models and algorithms enables the following …” „… Deep Learning with Uncertainty Estimation Classical constituent sensing involves predicting …” „… function is a task of machine learning and is commonly referred to as NIR calibration [1]. Smart …”

M. Schmidt AI-Based Tillage Job Quality Assessment for Advanced Machine Automation in Agriculture S. 567-572

„… image processing a state-of-the-art Deep Learning approach has been developed [5]. A large data base …” „… containing a high variety of images is essential for the success of Deep Learning approaches. Thus, an …” „… activity is deep knowledge how the human is per-forming the respective activity today. In automotive …”

A. Barbaresi, M. Ceccarelli, M. Bovo, M. Agrusti, E. Santolini, D. Torreggiani, P. Tassinari, G. Menichetti Machine Learning Models for Predictions of Thermal Energy Need in Farm Buildings S. 477-484

„… ] Singh U, Rizwan M, Alaraj M, Alsaidan I. A Machine Learning-Based Gradient Boosting Regression Approach …” „… Machine Learning Models for Predictions of Thermal Energy Need in Farm Buildings Dr. Alberto …” „… learning (ML) models to avoid energy simulations. Considering these aspects, the research aims is to …”

M. Agrusti, M. Ceccarelli, M. Bovo, S. Benni, A. Barbaresi, E. Santolini, D. Torreggiani, P. Tassinari Assessment of milk yield loss induced by heat stress in dairy cows – Researching the sustainability and the animal welfare S. 75-84

„… References [1] P. Tassinari et al., “A computer vision approach based on deep learning for the detection of …” „… model developed through machine learning techniques, adopting a Random Forest algorithm, with the main …” „… milk yield of dairy cows in farms with AMS. In this context, Machine Learning (ML) algorithms have …”

Titelei/Inhaltsverzeichnis S. I-XXII

„… grassland identification using deep learning 375D. H. Basavegowda, C …” „… , PotsdamNon-destructive internal disorder detection in pear fruit using X-ray radiographs and deep learning …” „… Aquatic Environment, University of Thessaly, Volos, Greece f Energy and BulidingsMachine Learning Models …”

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LAND.TECHNIK AgEng 2023

VDI Wissensforum GmbH (ed.)

Series: VDI-Berichte

Volume 2427 2023

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P. Behr, E. Olcay, M. Maier, T. Oksanen Condition Monitoring in Agricultural Disc Mower Machinery using Deep Learning S. 117-124

„… Condition Monitoring in Agricultural Disc Mower Machinery using Deep Learning Intelligent Anomaly …” „… Detection in Disc Mowers: Exploring Deep Learning Models (CNN and ResNet) for Enhanced Condition Monitoring …” „… into the exploration of two deep learning models (CNN and ResNet18) for intelligent condition …”

F. C. Eichhorn, J. Becker Efficient and Reliable Employment of Stereo Cameras in Precision Agriculture S. 333-340

„… part of the BMWK-funded project NaLamKI, we employ a state-of-the-art deep learning approach based on a …” „… other control systems in agriculture. The high model complexity of modern deep learning architectures …” „… ) [10] He, K., Zhang, X., Ren, S. Sun, J.: Deep Residual Learning for Image Recognition, IEEE CVPR, San …”

A. Baiser, B. Johanning, A. Berghaus, A. Grever Development approach for process monitoring of agricultural work processes in context of autonomous machine guidance of a tractor implement combination S. 169-174

„… AgEng-LAND.TECHNIK 2022. 22th november 2022, page 567-572. [4] Stroescu, V.C., Olcay, E.: Deep Learning-Based …” „… combination with machine or deep learning algorithms to partly detect damage, but mainly to assess the work …” „… approach with accelerometers and the use of a deep learning algorithm to detect missing knife blades of a …”

B. Kazenwadel, S. Becker, L. Michiels, M. Geimer Data-driven algorithms for predicting energy-efficient operating points in agricultural soil tillage S. 519-528

„… . Haarnoja, H. Tang, P. Abbeel, and S. Levine, “Reinforcement Learning with Deep Energy-Based Policies …” „… . One approach used off-policy reinforcement learning [3] and the other one used traction and draft …” „… directly predict the optimal operating speed. This paper presents an offline reinforcement learning …”

S. Bosse, J. Magnusson, E. L. Wisotzky, A. Hilsmann, P. Eisert, E. Gassen, M. Reichardt, A. Stein, J. Heil, M. Hussaini Platform-Based and AI-Enabled Farming to Foster Agricultural Ecosystems S. 441-454

„… . Hughes und M. Salathé. „Using deep learning for image- based plant disease detection“. In: Frontiers in …” „… use of AI methods user-friendly, NaLamKI relies on Automated Machine Learning [22]. The 3D …” „… interactive learning approaches in the heterogeneous "agriculture" system. For result visualization, an …”

T. Blume, L. Neumann Self-supervised learning for an agriculture driver assistant system S. 471-476

„… determination of tramlines plays a crucial role for this application and is achieved by using deep learning …” „… Self-supervised learning for an agriculture driver assistant system Dipl.-Ing. Tobias Blume, M.Sc …” „… time-consuming and costly. A promising alternative is self-supervised learning, where large amounts of unlabeled …”

B. Teurlinx, T. Ruigrok, F. Tamminga, J. Ijsselmuiden, K. Bennin, Ö. Babur High Accuracy and High-Speed Crop Root Position Detection for Green-on-Green Mechanical Weeding S. 69-78

„… conditions. This meant that the dataset used during the training of the deep learning networks included …” „… , Michael G, Jones K. A survey of deep learning techniques for weed detection from images. Comput Electron …”

Titelei/Inhaltsverzeichnis S. I-XX

„… Agricultural Disc Mower Machinery using Deep Learning 117P. Behr, E. Olcay, M. Maier, T. Oksanen, Technical …” „… operational modes using a supervised machine learning model 93R. Grimm, M. Kügle, F. Kattler, J. Mayer, AGCO …” „… deviation analysis – Utilizing machine learning to increase yield documentation insights 327R. Gralfs, C …”

E. Eder, U. C. Bicici, P. Riegler-Nurscher Evaluating the work quality of in-row hoeing systems using computer vision methods S. 477-482

„… The rise of deep learning has led to many new methods for image parsing, including semantic …”

E. Zamora, A. Benavent, M. Wójcik, C. Metz, T. E. Madsen Robot Operating System ROS 2 in safety critical agricultural robot applications S. 219-226

„… this paper and presentation, we provide deeper insights into the opportunities of using ROS 2 in the …” „… taking in new scenarios and learnings, both during the development, but also after deployment. Hazard …”

C. Hurd, J. Hollinger, T. Schuster, R. Schildroth Deploying Off-Road Autonomy at Scale S. 463-470

„… debugging inference logic many times easier. ○ Deep learning models can be opaque, making it even more …”

J. C. Krause, N. Iqbal, M. Niemeyer, B. Thy, L. Plagge, H. Hollmeier, A. Ruckelshausen, S. Röttgermann, A. Tauber, J. Herbers, S. Menke, J. Hertzberg AI-TEST-FIELD – A Test Environment for the Automated Evaluation of Methods for Robust and Reliable Environment Perception S. 547-554

„… . 257-276 [3] Guo, Y. et al.: Deep Learning for 3D Point Clouds: A Survey. IEEE Transactions on Pat-tern …”

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SIMVEC – Simulation und Erprobung in der Fahrzeugentwicklung

VDI Wissensforum GmbH (ed.)

Series: VDI-Berichte

Volume 2333 2018

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T. C. Spruegel, B. Schleich, S. Wartzack Simulations-DNA: Datengetriebener Ansatz zur automatischen Plausibilitatsprufung strukturmechanischer FE-Simulationen mittels Deep Learning S. 29-38

„… strukturmechanischer FE-Simulationen mittels Deep Learning T. C. Spruegel, M.Sc., Dr.-Ing. B. Schleich, Prof …” „… , Künstliche Neuronale Netze, Deep Learning und Plausibilität kurz vorgestellt. VDI-Berichte Nr. 2333, 2018 …” „… des maschinellen Lernens zugeordnet werden [4, 7]. 2.4 Deep Learning Deep Learning bezieht sich auf …”

E. P. Viña, M. Kleer, K. Dreßler Virtual validation of autonomous vehicles in a 3D Pointcloud S. 337-344

„… particular Deep Learning- algorithms are being employed to differentiate between similar-looking objects …” „… , Kaiserslauten. 2014. [4] Qi, Charles R., et al. "Pointnet: Deep learning on point sets for 3d classification …” „… a representative city and we capture it as a 3D pointcloud. Then, we apply machine learning …”

J. V. G. Tilly, A. Tarasow, T. Arndt, B. Neudecker, R. Serway Einsatz von kunstlichen neuronalen Netzen zur Bestimmung des Kupplungsdrucks bei nasslaufenden Doppelkupplungen S. 17-28

„… [10] Clevert, D., Unterthiner, T., Hochreiter, S.: Fast and accurate deep network learning by …” „… ., Bengio, Y.: Deep Sparse Rectifier Neural Networks, Proceedings of the Fourteenth International …” „… Hyper-Parameter Optimization, Journal of Machine Learning Research 13, 2012 [12] Kingma, D. P., Ba, J. L.: Adam …”

J. Neumann, T. Tentrup, T. Weck How to calibrate and test advanced driver assistance and autonomous driving systems EoL – From development into the end-of-line S. 527-542

„… recent breakthroughs in deep learning, the camera is the most important sensor for object classification …” „… (see fig. 9). By using state-of-the-art neural network architectures (e.g. DNN - Deep Neural Network …” „… addition to a static calibration in the endof-line. New adaptive and self-learning features are expected to …”

Titelei/Inhaltsverzeichnis S. I-XIV

„… FE-Simulationen mittels Deep Learning. . . . . . . . . . . . . . . . . . . . . .29 T. C …”

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Reifen – Fahrwerk – Fahrbahn

VDI Wissensforum GmbH (ed.)

Series: VDI-Berichte

Volume 2356 2019

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K. Singh, F. Petry, P. Alipour, D. Khadraoui Application of Machine Learning & Deep Learning Techniques in the Context of Use Cases Relevant for the Tire Industry S. 241-268

„… Application of Machine Learning & Deep Learning Techniques in the Context of Use Cases Relevant …” „… artificial intelligence (AI) based learning models. State-of-the-art machine learning (ML) and deep learning …” „… a lot in the last decade and changed a lot in the last few years. The “deep” in deep learning is …”

W. Jarisa, R. Henze, F. Küçükay, F. Schneider, J. Denzler, B. Hartmann Fusionskonzept zur Reibwertschätzung auf Basis von Wetter- und Fahrbahnzustandsinformationen S. 169-190

„… Berücksichtigung von Kontextwissen, wie z. B. Luft- oder Fahrbahntemperatur mittels Deep-Learning- Ansätzen …” „… Fusionskonzepte sowie Verbesserungen der Kameraklassifikation mittels Deep Learning weiter diskutiert. Die Arbeit …” „… Wahrscheinlichkeiten oberhalb von 90% charakterisiert. 8 Verbesserung der Kameraklassifikation mittels Deep Learning …”

Titelei/Inhaltsverzeichnis S. I-VIII

„… , Kaiserslautern Application of Machine Learning & Deep Learning Techniques in the Context of Use Cases Relevant …”

S. Keidler, J. Haselberger, K. Mayannavar, B. Schick, D. Schneider Development of lane-precise “Ground Truth” maps for the objective Quality Assessment of automated driving functions S. 15-34

„… Software Architecture”, pp. 38-42, 2017. [22] J. Haselberger, B. Schick, and J. Chen, “Deep Learning for …” „… satellite images to update and change data. New technologies such as Artificial Intelligence (AI) and Deep …” „… Learning (DL) are used for this purpose [12]. Based on this knowledge a new road description format CRO …”

doi.org/10.51202/9783181023563

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27. Deutscher Materialfluss-Kongress

VDI Wissensforum GmbH (ed.)

Series: VDI-Berichte

Volume 2325 2018

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C. Plapp Deep Machine Learning in der Logistik: Kamerabasierte Objektidentifikation – Scannen und RFID werden überflüssig S. 13-18

„… Deep Machine Learning in der Logistik: Kamerabasierte Objektidentifikation Scannen und RFID …” „… Effizienzsteigerungen zu erreichen. Dafür hat Logivations Deep Machine Learning Technologien in die vielfach prämierte …” „… Algorithmen. Diese basieren auf neuen Verfahren der Computer Vision und des „Deep Machine Learning“. Für den …”

Vorwort S. 1-2

„… Agentengesteuerte Steuerungen, Deep Learning, Computer Vision sind keine Zukunftsprojekte mehr, sondern Teil neuer …”

S. Kaczmarek, R. Grzeszick, S. Feldhorst Von der Forschung ins eigene Start-up – Motion-Mining® in der Praxis – Automatische Prozessanalysen in Produktion und Logistik S. 157-162

„… Sensoren und Kleinstfunksender zusammen mit Algorithmen des Deep Learning genutzt, um Prozessdaten …” „… aufzunehmen während der Prozess abläuft. Anschließend werden Algorithmen des Deep Learnings genutzt, um die …”

Titelei/Inhaltsverzeichnis S. I-XI

„… Intralogistics Execution zu mehr Transparenz S. Schumacher und Effizienz C. Plapp Deep Machine Learning in der …”

Innovative Versorgungskonzepte S. 239-264

„… Deep Learning and Large-Scale Data Collection, o. O. 2016 VDI-Berichte Nr. 2325, 2018250 …” „… Learning). VDI-Berichte Nr. 2325, 2018 243 Der Ansatz von virtuellen Lernumgebungen wird im Projekt …” „… DeepGrasping (Fraunhofer IPA, Universität Stuttgart) auf den roboterbasierten Griff-in-die-Kiste, also das …”

J. Dziedzitz, K. Markert, K. Furmans Fortschritte bei der automatischen Kommissionierung – Am Beispiel der Amazon Robotics Challenge S. 97-112

„… Methoden mittlerweile von Deep Learning Methoden bei der Objekterkennung und Objektklassifizierung …” „… Mariéthoz. 2002. “Torch: a modular machine learning software library”. IDIAP-RR 02-46. [18] Abadi et al …” „… . 2015. “TensorFlow: Large-Scale Machine Learning on Heterogenweous Distributed Systems”. White Paper …”

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ELIV 2023

VDI Wissensforum GmbH (ed.)

Series: VDI-Berichte

Volume 2423 2023

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P. Laufer Estimation of Gender and Age of Vehicle Occupants Using Deep Learning S. 27-38

„… Estimation of Gender and Age of Vehicle Occupants Using Deep Learning Patrick Laufer, IAV …” „… reveal the most influential parts of an image on the predictions made by deep learning models. One such …”

X. Wang, A. Hübner, K. Weishaupt, K. Chung Validation and Interpretation of Neural Networks: DNN-Based Object Detection as an Example S. 419-436

„… State-of-the-art object detection, implemented mostly via Deep Learning, is a central component of the environment …” „… particularly relevant and promising [3]. Over the past few years, Deep Learning has unlocked the potential of …” „… . Schwenninger und C. Freystein, „Deep-Learning-basierte 3-D-Objekterkennung - Daten, Training und Absicherung …”

U. Bodenhausen How to Become a Leader by Development of AI – ChatGPT Research Papers Analysed S. 281-292

„… important learnings about successful AI development. The challenges of NLP and automotive applications are …” „… algorithm • The adjustment of internal parameters by learning algorithms based on training cases …” „… , activation functions, learning rates, stopping criteria. Figure 2 shows a comparison of classic software …”

F. Kraemer Development and Testing Autonomous Vehicles (AV) at Scale S. 149-158

„… Though, important challenges remain, when it comes to large-scale deep learning workloads such as the …” „… processing very large volumes of data for deeper insights. A very important performance improvement in this …” „… development of deep neural networks that are trained to be used in the perception software stack for …”

Z. Bassi, P. Gulden Using Radar and Vision Fusion for Improved Low-light Pedestrian Detection S. 113-132

„… , rooted in deeper and deeper machine learning, with big neural nets (NN) dominating computer vision, we …” „… . The majority of work focuses on the algorithm and architecture, often using complex machine learning …” „… not – this is a binary value of 1 or 0. Note these labels are not confidence scores, as no learning …”

P. Dreiseitel, D. Yesilbas Generative Artificial Intelligence – How AI Models Change the Way We Develop Automotive Products S. 405-418

„… supervised learning methods that rely heavily on labelled data, these state-of-the-art models are designed to …” „… human-enforced Reinforcement Learning for personalization features, among others. This paper aims to provide an …” „… on years of research and advances in machine learning, neural networks, and computational …”

Titelei/Inhaltsverzeichnis S. I-XVI

„… , Aachen Electronics TechnologyEstimation of Gender and Age of Vehicle Occupants Using Deep Learning 27P …” „… , S. Schoutissen, Volvo Group Trucks Technology, Gothenburg, SwedenA Cloud-based Self-Learning …”

H. Ghezali, L. Trautmann, S. Witke, S. Herbold A Review of using Artificial Intelligence in Large Projects for Requirements Classification S. 573-588

„… these models to new use-cases and frameworks. In this paper, transfer learning is used by taking …” „… observed. This is shown in Figure 3a for RoBERTa-large and learning rates 1e-5 and 2e-5. Fig. 3a: SYS+SW …” „… is obviously significantly higher than the other parameters for both learning rates. This implies …”

K. Fuchs, G. Hasenbichler How Data-driven Approaches Enhance Agile and Quality-assured Software Development for AD S. 663-672

„… ., weather and road conditions. 3) Generation of Training Data: The perception system is based on deep …” „… learning with neural networks that have to be trained enabling the system to learn. This basic principle …”

G. Shirasat, T. Dannemann Snapdragon Ride Flex SoC: The central compute solution that’s bringing the SDV vision to reality S. 253-266

„… deep dive into the emergence of SDV and how Qualcomm is helping transform the automotive industry …” „… machine learning (ML) model performing ML operations (MLOps) on the data ingested from the car or in-cloud …” „… libraries of ML inferencing utilizing the machine learning accelerator. The in-vehicle stack needs to …”

A. Matarage A leap in innovation – What European OEMs can learn from Chinese OEMs in terms of User Experience S. 503-518

„… way to circumvent the traditional learning by doing method to try to catch up with the European …” „… reacts in an “emotional” way. Digital assistants are often self-learning and become more and more …” „… as Alibaba, Huawei, Xiaomi. And their cooperation goes down to a deep technological level. European …”

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ELIV-MarketPlace 2022

VDI Wissensforum GmbH (ed.)

Series: VDI-Berichte

Volume 2405 2022

Results in this title

B. Franczyk Technology comparison of surround sensors for mobile machines – Change from rule-based systems to Deep Learning S. 421-428

„… www.digitalisierung-landwirtschaft.deWHY USE DEEP LEARNING?www.digitalisierung-landwirtschaft.deAdvantages compared to traditional …” „… embedded Deep Learning!CONTACT DETAILSwww.digitalisierung-landwirtschaft.deProf. Dr. Bogdan FranczykLeipzig …” „… Deep Learning Prof. Dr. Bogdan Franczyk, Institut für Wirtschaftsinformatik, Universität Leipzig …”

U. Bodenhausen Comprehensive Test Strategy for AI Based Systems – From AI Test Principles to T est Optimization S. 265-282

„… FunctionsAI in AutomotiveGeneric (Deep Learning) Neural Network (NN)TRAINING:Interconnection “weights” are …” „… weights to better.Deep Learning = Learning the interconnections for several hidden layers(Software …” „… Challenge 5: Validation of (sub)systems that are based on machine learning.Relevant Standards - ISO/TR …”

K. Talits Automatic Camera-based Road Defect Detection with Neural Networks S. 305-314

„… with deep learning: A review,” IEEE transactions on neural networksand learning systems, vol. 30, no …” „… . 11, pp. 3212–3232, 2019.(10) M. Ganaie, M. Hu, et al., “Ensemble deep learning: A review,” arXiv …” „… , “Transfer Learning-based Road Damage Detection for Multiple Countries,” arXiv preprint arXiv:2008.13101 …”

K. Chung Understand and Testing AI Decisions with Explainable AI S. 249-256

„… Black BoxPrediction: Car, Traffic lightDeep Learning Image ProcessingIntroductionWhat is the AI looking …” „… deep neural networks." Neural computing and applications (2020)VDI-Berichte Nr. 2405, 202225411 …” „… the training of deep neural networks." Neural computing and applications (2020)12SummaryChallenges of …”

S. Alexander Real-time, Context-aware E-Mobility Services to Optimize Commercial Transportation Ecosystem – Optimized Battery Electric Fleet Operations: Maximize utilization, Minimize electricity costs, Simplify o... S. 381-394

„… : AdvantagesDynamic Model Composition: Deep Neural Networks with Embedded Physics ModelsParameterized and Constrained …” „… Differential Equations.Smaller Footprint (size 10x less than pure deep NN with higher accuracy).Less Training …” „… learning system Continuously fed by predictions & contextScalable to thousands of vehicles per cloud …”

Titelei/Inhaltsverzeichnis S. I-XIV

„… surround sensors for mobile machines – Change from rule-based systems to Deep Learning …”

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Automation 2020

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Series: VDI-Berichte

Volume 2375 2020

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M. Both, J. Müller Deep Learning in Industrie 4.0 Umgebungen als Wegbereiter für automatisierte Abbildungen von Ontologien S. 675-686

„… Deep Learning in Industrie 4.0 Umgebungen als Wegbereiter für automatisierte Abbildungen von …” „… Methodik wird auf Konzepte des Deep Learning, konkret dem Teilgebiet Natural Language Processing (NLP …” „… zunächst heterogene Semantik aufeinander abzubilden. Grundlage des Matching Dienstes sind Methoden des Deep …”

S. Baer, F. Baer, D. Turner, S. Pol, T. Meisen Integration of a Reactive Scheduling Solution using Reinforcement Learning in a Manufacturing System S. 645-658

„… solution using Deep Reinforcement Learning into a manufacturing system. We focus on the integration of our …” „… article focuses on the integration of a reactive scheduling system using Deep Reinforcement Learning (RL …” „… Scheduling using Deep Reinforcement Learning In our approach, planning would take place on three levels …”

P. Rösner, B. Bauer, T. Heverhagen, C. Wittenberg Lokalisierung von mobilen autonomen Plattformen zwischen systematisch angeordneten Hindernissen mit Hilfe von Referenzpunkten S. 1011-1022

„… Präzisionslandwirtschaft leisten müssen. Für die Lokalisierung soll Deep Learning eingesetzt werden. Dabei wird ein …” „… . Deep learning is to be used for localization. A neural network will be trained to determine the …” „… trained reliably. 1. Deep Learning beim Field Robot Event Für zukünftige Teilnahmen am FRE soll Deep …”

A. Müller, M. Lange-Hegermann, A. von Birgelen Automatisches Training eines Variational Autoencoders für Anomalieerkennung in Zeitreihen S. 687-698

„… learning model based on deep neural networks, for anomaly detection automatically, without expert knowledge …” „… . Patterson und A. Gibson, Deep learning: A practitioner’s approach, First Hrsg., Sebastopol CA: O’Reilly …” „… hyperparameters, most importantly the learning rate [22] specified by learning_rate. We use the Adam [23 …”

D. Scheurenberg, M. Ketelhut, D. Abel Bewegungserfassung mithilfe maschineller Lernverfahren für das roboterassistierte Training – Mustererkennung für die Mensch-Maschinen-Interaktion S. 591-602

„… learning, Cambridge, MIT Press. [5] Glorot, X.; Bordes, A.; Bengio, Y. (2011): Deep Sparse Rectifier …” „… [6] Zhang, R.; Sun, J. (2015): Deep Residual Learning for Image Recognition. IEEE CVPR [7] Newell, A …” „… . (2014): Improving multiview face detection with multi-task deep convolutional neural networks. IEEE …”

C. Huang, S. Seidel, F. Alberto Velarde Gonzales, D. Mayer Kostenoptimale Steuerung eines multivalenten Gebäudeenergiesystems mittels modellprädiktivem Ansatz und Reinforcement Learning S. 43-58

„… Aufgabenstellungen kann es notwendig sein mit fortschrittlicheren Methoden des RL wie z.B. Deep Learning mit …” „… Ansatz und Reinforcement Learning Dipl.-Ing. Chenzi Huang, Dipl.-Ing. Stephan Seidel, M.Sc. Fabio …” „… modellprädiktiven Regelung und dem gegenüber der Einsatz von Reinforcement Learning aus dem Bereich des maschinellen …”

T. Übelhör, J. Gesenhues, D. Abel, N. Ayoub Augmented Reality Schablonen für intelligente kollaborative Roboter in der Chirurgie – Markerlose Erfassung von Knochenposen für patientenadaptive Osteotomien S. 603-616

„… . Mo, und L. J. Guibas, „PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation …” „… . Weitz, und S. Speidel, „Learning soft tissue behavior of organs for surgical navigation with …” „… , doi: 10.1007/s11548-019-01965-7. [14] V. Badrinarayanan, A. Kendall, und R. Cipolla, „SegNet: A Deep …”

Titelei/Inhaltsverzeichnis S. I-XX

„… . Wehrstedt, Siemens AG, München Deep Learning in Industrie 4.0 Umgebungen als Wegbereiter für automatisierte …” „… Learning . . . . . . . . . . . . . . . . . . . . . . . . . .43 C. Huang, S …” „… Scheduling Solution using Reinforcement Learning in a Manufacturing System …”

J. Pfrommer, C. Frey, L. Wessels, J. Beyerer ML4P: Ein Standard-Vorgehensmodell für die Anwendung Maschinellen Lernens in der industriellen Produktion S. 629-644

„… Verantwortlichkeiten eine bessere Planbarkeit und Skalierung auf große Projektteams. 1. Einführung Machine Learning …” „… »ML4P: Machine Learning for Production« wurde, gemeinschaftlich mit sechs beteiligten …” „… Artefakten: Der Machine Learning Pipeline und der Prozessakte. Beide Artefakte werden im Vorgehensmodell …”

M. W. Hoffmann, R. Drath, C. Ganz Industrielle Anforderungen an Künstliche Intelligenz-Lösungen S. 617-628

„… , Schjølberg, P and Marhaug, A. "Deep digital maintenance." Advances in Man-ufacturing 5.4: 299-310, 2017. 9 …” „… Vibration Data and Machine Learning to Predict Asset Health." IEEE 20th Conference on Business Informatics …” „… Scientific Machine Learn-ing: Core Technologies for Artificial Intelligence.” United States: N. p., 2019 …”

T. Müller, N. Jazdi, M. Weyrich Intelligentes Rekonfigurationsmanagement selbstorganisierter Produktionssysteme in der diskreten Fertigung S. 517-530

„… . Maschler and M. Weyrich, “Deep Transfer Learning at Runtime for Image Recognition in Industrial Automation …” „… . Liewald, and M. Weyrich, “Cloud-based control approach in discrete manufacturing using a self-learning …”

P. Sohr, C. Schulz, M. Matzopoulos, M. Roth, M. Krauss, K. Kruening, M. Ungen, F. Wolff Digital Twin of Process Behavior: Experience from a Demonstration Project S. 215-226

„… feasibility studies for optimization measures or to deepen process understanding. The steady-state and …” „… . Another interesting learning was that the varying levels of granularity in different process models need …” „… technical learnings, the project also revealed interesting insights in the necessary qualifications of …”

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Automation 2024

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Series: VDI-Berichte

Volume 2437 2024

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Z. Müller-Zhang, T. Kuhn Live-Scheduling mit Deep Reinforcement Learning und Verwaltungsschale S. 307-338

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SIMVEC 2022

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Series: VDI-Berichte

Volume 2407 2022

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P. Baque Neural Concept Shape: Empowering Engineering Organizations with Deep-Learning – Applications to a faster transition towards e-drive systems for Automotive OEMs and Suppliers S. 289-290

„… Neural Concept Shape: Empowering Engineering Organizations with Deep-Learning Applications to a …” „… exploits the power of deep learning to assist engineers to more quickly evaluate man-made designs and to …” „… by recent algorithms based on Geometric Deep-Learning, allows shortcutting any simulation chain …”

F. Chinesta, R. Magg Empowering car design, maintenance and operation from advanced model order reduction and AI technologies S. 523-534

„… . Courville. Deep learning. MIT Press, Cambridge, 2016 [21] N. Cristianini, J. Shawe-Taylor. An introduction …” „… (1997) 119-139. [28] M. Nielsen, Neural networks and deep learning, 2019 …” „… . [31] T. Qin, K. Wu, D. Xiu. Data driven governing equations approximation using deep learning networks …”

A. Backes Globales Systemverständnis von Simulationsmodellen durch Maschinelles Lernen S. 563-570

„… Definition von Meta-Modellen. Dabei sind die bekannten neuronalen Netze ( Deep Learning) eher für sehr große …” „… , O’Reilly, 2017 [4] Machine Learning Kochbuch Chris Albon, O’Reilly, 2019 [5] Deep Learning mit Python …” „… Learning“ und „Unsupervised Learning“. In vielen Fällen kommt aktuell das Supervised Learning zum Einsatz …”

A. Tuschkan, C. Simon, A. Palmisano, M. Živadinović, C. Aras, W. Ratzke, A. Belnarsch Batterieanalyse in der Elektromobilität – Ein Einblick in Methoden zur Batterieanalyse und Alterungsprädiktion bei elektrischen Fahrzeugflotten durch Kombination von konventionellen Ansätzen und masch... S. 103-118

„… .2021.120205. [12] W. Li et al., „One-shot battery degradation trajectory prediction with deep learning …” „… 41560-019-0356-8 [18] H. B. McMahan et al., „Communication-Efficient Learning of Deep Networks from Decentralized …” „… Lernen Combining conventional and machine learning approaches to predict battery degradation based on …”

N. Klinke, F. Schewe, B. Scholemann On the application of machine learning for the prediction of feasibility and thermal performance of cooling plates for battery electric vehicles S. 543-554

„… directly. Using 3D Deep Learning and Geodesic Convolutional Neural Networks (GCNN), the algorithm is able …” „… On the application of machine learning for the prediction of feasibility and thermal performance of …” „… is used to train machine learning algorithms. Next to classical parametric approaches, we also …”

J. Jahnke, S. Steidel, M. Burger, S. Emmerich Echtzeitfähige Simulation der Bodenwechselwirkung für Baumaschinen – Rekurrente Neuronale Netze und die Diskrete Elemente Methode zur Kraftprädiktion am Beispiel eines interaktiven Baggersimulators S. 619-628

„… . 16-22, (1964). [14] I. Goodfellow, Y. Bengio, and A. Courville: Deep Learning …” „… . http://www.deeplearn-ingbook.org. MIT Press, (2016). [15] P. Aggarwal: Neural Networks and Deep Learning – A Textbook, Cham …”

Titelei/Inhaltsverzeichnis S. I-XVI

„… : Empowering Engineering Organizations with Deep-Learning – Applications to a faster transition towards e-drive …” „… of machine learning for the prediction of feasibility and thermal performance of cooling plates for …”

M. Burger, T. Jung, C. i Wu, T. Rothmann Umgebungsdaten und Dynamische Verkehrsszenarien zur Effizienten Erprobung von Fahrzeug-Systemen S. 423-436

„… vergangenen Jahren aber wiederum signifikant gesteigert werden konnte (vgl. „deep learning“). So können …”

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Series: VDI-Berichte

Volume 2399 2022

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M. Stange, M. Both, J. Müller Prognostizierte Energieverbräuche durch Deep Learning als Basis zur Integration in ein Smart Grid am Beispiel des Flughafen Köln Bonn S. 703-714

„… Prognostizierte Energieverbräuche durch Deep Learning als Basis zur Integration in ein Smart Grid …” „… dienen. FM, die mithilfe von Deep Learning (DL)-Methodiken entwickelt werden, haben den Vorteil, dass sie …” „… Sci-ences, Jg. 10, Nr. 23), 8323 [8] Amarasinghe, K., Marino, D., L. und Manic, M. (2017): Deep neural …”

M. Gärtler, B. Schmidt Auf dem Weg zur Digitalisierung von R&I – Evaluierung von Few Shot Learning Techniken zur einfachen Erkennung bisher unbekannter Elemente S. 453-464

„… Engineering, Jul. 2019, vol. 3. [7] M. Gada, “Object Detection for P&ID Images using various Deep Learning …” „… and Instrumentation Diagrams in Image Format Using a Deep Learning Network,” Energies, vol. 12, no. 23 …” „… survey of deep meta-learning,” Artif Intell Rev, Apr. 2021, doi: 10.1007/s10462-021-10004-4. [12] A …”

A. Charizanis, M. Müller, M. Weyrich, H. Mettler Validierung von sicherheitsrelevanten KI-Systemen in der Pharmabranche S. 561-580

„… KI-Systeme immer mehr zum Einsatz. Da vor allem Deep-Learning-Modelle Black-Box-Eigenschaften aufweisen …” „… des Deep Learnings (DL), zum Einsatz. Auch im pharmazeutischen Bereich wird KI von der Mehrheit der …” „… . Für die Entwicklung der KI verweist die FDA auf die „Good Machine Learning Practices“ (GMLP), welche …”

H. S. Steude, D. Vranješ, J. L. Augustin, O. Niggemann, M. Lange-Hegermann, D. Höche Verwendung Neuronaler Netze zur automatisierten Analyse und Modellierung elasto-plastischer Materialeigenschaften von metallischen Zugproben S. 505-520

„… interpretierbares Deep Learning Modell auf der Grundlage von Eingabe-Ausgabe-Beispielen eines bekannten …” „… Forschungsarbeit zeigt Methoden zur Erzeugung von für den Menschen ver-ständlichen Deep-Learning-Modellen auf …” „… , “Data-driven discovery of Green’s func-tions with human-understandable deep learning,” May 2021, doi: 10.1038/s …”

G. Just, V. Khaydarov, L. Urbas, B. Klöpper, F. D. Bähner Hidden Markov Models und Active Learning zur automatisierten Kennzeichnung von Batchphasen in der Prozessindustrie S. 615-624

„… , J. I., & Muller, P.-A. (2019). Deep learning for time series classification: a review. Data mining …” „… Hidden Markov Models und Active Learning zur automatisierten Kennzeichnung von Batchphasen in der …” „… betrach-tet: Hidden Markov Models (HMM) und Active Learning (AL). Die Untersuchungen ergeben, dass das HMM die …”

D. Vranješ, P. Topalis, O. Niggemann Chancen und Herausforderungen für Künstliche Intelligenz in kleinen und mittelständischen Unternehmen S. 399-412

„… Basis für KI Anwendun-gen. Für die Anomalieerkennung sind insbesondere Deep Learning Methoden von …” „… [16] Wang, K. u. Wang, Y.: How AI Affects the Future Predictive Maintenance: A Primer of Deep Learning …” „… repräsentativ für das spätere Einsatzgebiet der Algorithmen ist oder zumindest Methoden wie Transfer Learning …”

Titelei/Inhaltsverzeichnis S. I-XVI

„… durch Deep Learning als Basis zur Integration in ein Smart Grid am Beispiel des Flughafen Köln Bonn …” „… . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 387 J.-P. Beck, A. Fay, Helmut-Schmidt-Universität, Hamburg f KI & Autonome Systeme – Machine Learning …” „… Learning Intelligence to the Edge – An Example on Edge Analytics for Cement Strength Prediction …”

R. Gitzel, T. Kozel Hot Spot Detection in Electrical Equipment using the Inverse Pixel Count Algorithm S. 479-490

„… Based on In-frared Thermal Images Using Wasserstein Generative Ad-versarial Networks and Deep Learning …” „… or healthy. We show how this feature can be used for machine learning with high accuracy. While the …” „… machine learning algorithms to do the classification. Many papers use Support Vector Machines (e.g. [1 …”

T. Unglaube, L. Däubler, A. Aljandali Künstliche Neuronale Netze (KNN) zur Plausibilisierung verfahrenstechnischer Prozessdaten S. 245-262

„… ist und wie sich dieser Deep-Learning-Ansatz auf Basis generalisierter stochastischer Petrinetze (GSPN …”

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