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VDI Wissensforum GmbH - Fahrerassistenzsysteme und automatisiertes Fahren 2018

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VDI Wissensforum GmbH (ed.)

Fahrerassistenzsysteme und automatisiertes Fahren 2018

Series: VDI-Berichte

Volume 2335 2018

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M. Karg, C. Scharfenberger, R. Thiel Machine Learning for Vision-based Pedestrian Detection Achievements and Future Challenges S. 151-164

„… Machine Learning for Vision-based Pedestrian Detection Achievements and Future Challenges …” „… partbased models, towards deep learning. Here, the gap between human and machine performance on the Caltech …” „… regelbasierte Algorithmen, welche kein datengetriebenes Lernen benötigen. Machine Learning ist diesem …”

Titelei/Inhaltsverzeichnis S. I-VIII

„… . Koch, F. Gruson, Continental, Business Unit ADAS, Lindau Machine Learning for Vision-based Pedestrian …”

D. Krökel, S. Hachfeld, M. du Bois, M. Pfitzer, S. Hegemann Camera Based Lost Cargo Detection for Automated Driving S. 55-62

„… camera. The first approach uses machine learning to recognize lost cargo. The second and third approach …” „… presents 3 camera based approaches which work with a telephoto camera. The first approach uses machine …” „… learning to recognize lost cargo. The second and third approach rely on two different satellite stereo …”

M. Berk, D. Straub, O. Schubert, H.-M. Kroll, B. Buschardt Absicherung der Umfeldwahrnehmung von hoch- und vollautomatisierten Fahrzeugen S. 165-184

„… methods. Additionally we give a short overview on a statistical learning framework, which enables to …” „… estimate sensor error rates by exploiting sensor redundancies. This learning framework does not require a …” „… Information in Automated Driving Vehicles through Fleet Learning. In Bearbeitung (2018) [22] Norm DIN …”

doi.org/10.51202/9783181023358

VDI Wissensforum GmbH - AgEng LAND.TECHNIK 2022

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VDI Wissensforum GmbH (ed.)

AgEng LAND.TECHNIK 2022

Series: VDI-Berichte

Volume 2406 2022

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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 …” „… therefore the computational time. Machine Learning (ML) models for regression are based on automatic …”

S. Röttgermann, G. Podann, J. IJsselmuiden, F. Tamminga, N. van de Westeringh, K. Jayaraj, D. Matos, D. Albrecht Disturbance Input Detection and Performance Monitoring for Smart Agricultural Implements S. 141-148

„… middleware (ROS) and the application of current machine learning methods, we expect a target-oriented …” „… LAND.TECHNIK AgEng 2022, 25 Februar 2022. [4] A. Pogoda, Benchmark von Machine Learning Verfahren zur …” „… the quality of work. Like the detection of disturbance variables, future machine generations will have …”

L. Wenzel, T. Stein, H. J. Meyer Automatic onboard process and worktype identification of agricultural machinery with Edge Devices S. 403-410

„… have been developed using machine learning to calculate the operating mode based on GNSS data and …” „… measure is discarded. In the second stage of the algorithm, different machine learning approaches are used …” „… agri-cultural process using machine learning to optimize farm management information systems. In …”

C. Stumpe, S. Böttinger Grassland yield prediction and mapping in small-scaled regions S. 149-154

„… machine learning methods. This approach will provide farmers with the most precise yield information …” „… measured variables from different measurement methods using machine learning techniques. Finally, the …” „… yield prediction model The manifold input data are processed by machine learning algorithms like …”

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

„… AI-Based Tillage Job Quality Assessment for Advanced Machine Automation in Agriculture M. Sc …” „… . Martin Schmidt, John Deere GmbH & Co. KG, Mannheim 1. Abstract Looking at the range of tasks a machine …” „… actions. E.g., the operator adjusts machine parameters such as working depth based on the visual …”

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

„… function is a task of machine learning and is commonly referred to as NIR calibration [1]. Smart …” „… continuous numbers to indicate various quality parameter. This is facilitated by the machine learning model …” „… augmented sensor system together with advanced deep learning models and algorithms enables the following …”

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

„… 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 …” „… . The study aims to define, train, and test a model developed through machine learning techniques and …”

L. Friedrich, P. Simon, A. Hoffmann, K.-L. Krieger Classification of manure type and their influence on the accuracy of nutrient determination in organic manures using NIR spectroscopy S. 359-364

„… , digestate) and the regressor for the nutrient values (DM, NH4N). Five machine learning algorithms, namely …” „… linear discriminant analysis (LDA), k-nearest neighbor (KNN), support vector machines (SVM), decision …” „… when comparing the performance of different learning algorithms on other datasets [6]. Hence, to avoid …”

H. Tavakoli, J. Correa, S. Vogel, R. Gebbers RapidMapper – a mobile multi-sensor platform for the assessment of soil fertility in precision agriculture S. 351-358

„… sensor data and applying machine learning algorithms, the performance of soil property estimations can be …” „… , 4(34), 2019, 1190. [12] Pedregosa, F., et al.: Scikit-learn: Machine Learning in Python. Journal of …” „… Machine Learning Research, 12, 2011, 2825-2830. VDI-Berichte Nr. 2406, 2022 357 …”

Titelei/Inhaltsverzeichnis S. I-XXII

„… Aquatic Environment, University of Thessaly, Volos, Greece f Energy and BulidingsMachine Learning Models …” „… 179 C. Depenbrock, L. Frerichs, Institute of Mobile Machines and Commercial Vehicles, Technical …” „… grassland identification using deep learning 375D. H. Basavegowda, C …”

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

„… X-ray CT using machine learning,” Food Control, vol. 113, no. February, p. 107170, 2020, doi: 10.1016 …” „… 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 …”

doi.org/10.51202/9783181024065

VDI Wissensforum GmbH - 27. Deutscher Materialfluss-Kongress

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VDI Wissensforum GmbH (ed.)

27. Deutscher Materialfluss-Kongress

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 …” „… neueste Betätigungsfeld von Logivations W2MO ist der Einsatz von Machine Learning für die kamerabasierte …” „… installed locally. The use of machine learning technology for the real-time camera based object …”

Titelei/Inhaltsverzeichnis S. I-XI

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

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

„… 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 …” „… Methoden mittlerweile von Deep Learning Methoden bei der Objekterkennung und Objektklassifizierung …”

Innovative Versorgungskonzepte S. 239-264

„… Machine Learning (ML) ist für viele Anwendungsfälle eine Schlüsseltechnologie, etwa in der Logistik, damit …” „… verfügen über die jeweiligen CAD-Daten – für beide Varianten kann Machine Learning eingesetzt werden …” „… Learning). VDI-Berichte Nr. 2325, 2018 243 Der Ansatz von virtuellen Lernumgebungen wird im Projekt …”

doi.org/10.51202/9783181023259

VDI Wissensforum GmbH - Reifen – Fahrwerk – Fahrbahn

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VDI Wissensforum GmbH (ed.)

Reifen – Fahrwerk – Fahrbahn

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 …” „… vector is used by the machine learning system, often a classifier, to detect or classify patterns in the …”

Titelei/Inhaltsverzeichnis S. I-VIII

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

R. Uil, F. Petry, M. Bäcker, A. Gallrein, F. Calabrese Virtual tire pre-development using the CDTire model suite – A feasibility study using the CDTire model suite paving the road towards virtual tire development S. 217-240

„… artificial intelligence and machine learning approaches, new possibilities are arising combining all these …” „… different sources of data for the VDI-Berichte Nr. 2356, 2019 219 development of machine learning …” „… processes as well as between material and tire properties. Fig. 2: Big data and machine learning …”

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

„… [CV95] C. Cortes, V. Vapnik: Support-Vector Networks, In: Machine Learning, Pages 273-297, 1995 …” „… 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 …”

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

„… machines and no longer primarily by humans [11]. This is called High Definition (HD) maps. Many companies …” „… Learning (DL) are used for this purpose [12]. Based on this knowledge a new road description format CRO …” „… Software Architecture”, pp. 38-42, 2017. [22] J. Haselberger, B. Schick, and J. Chen, “Deep Learning for …”

doi.org/10.51202/9783181023563

VDI Wissensforum GmbH - Schwingungen 2021

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VDI Wissensforum GmbH (ed.)

Schwingungen 2021

Series: VDI-Berichte

Volume 2391 2021

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T. König, R. Bader, M. Kley Schwingungsbasierte Fehlererkennung und Schadensdetektion an Getrieben durch Einbindung von Methoden des Machine Learning S. 53-66

„… Methoden des Machine Learning Vibration-based fault identification and damage detection on gearboxes …” „… using machine learning methods M. Eng. Timo König, M. Eng. Roman Bader, Prof. Dr.-Ing. Markus Kley …” „… der Weiterverarbeitung mit Modellen des Machine Learning, welche eine effiziente Analyse und …”

D. Bestle Verbesserter Systementwurf durch KI-Methoden S. 3-14

„… . [16] Cortes, C.; Vapnik, V.: Support Vector Machines. Machine Learning 20 (1995) S. 273- 297. [17 …” „… neuronale Netze und support vector machine hinsichtlich ihres Beitrags zu dieser Entwicklung diskutiert …” „… parameterization as well as various AI-strategies such as artificial neural networks and support vector machine …”

Titelei/Inhaltsverzeichnis S. I-2

„… Fehlererkennung und Schadensdetektion an Getrieben durch Einbindung von Methoden des Machine Learning …”

M. Bauer, D. Proksch, J. Kopetschek, F. Wagner, M. Kley Entwicklung und Validierung einer Methode zur Ermittlung der minimalen Performanceanforderungen an Sensoren für die schwingungsbasierte Zustandsüberwachung S. 89-104

„… Getrieben durch Einbindung von Methoden des Machine Learning. 3. VDI Fachtagung Schwingungen. 16.-17 …” „… accelerometer network for rotating machine vibration diagnostics. IEEE Instrumentation & Measurement Magazine …” „… wireless multi-sensor platform dedicated to machine tool condition monitoring. Procedia Manufacturing 51 …”

doi.org/10.51202/9783181023914

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