AmE 2022 : Automotive meets Electronics : 13. GMM-Symposium, 29.-30. September 2022 in Dortmund / edited by Michael Wahl.

Format:

Book

Contributor:

Wahl, Michael, editor.

Language:

English

Subjects (All):

Automobiles--Electronic equipment--Congresses.

Automobiles.

Physical Description:

1 online resource (106 pages)

Other Title:

GMM-Fb. 104

Place of Publication:

Berlin : VDE, 2022.

Summary:

The focus of the conference AmE 2022 is oriented towards these topics. The first topic is Mobility of the Future addressing issues arising from the new kind of the car's future usage. One major focus is on connectivity and all related topics concerning privacy, safety and security. Developments in the future mobility will be characterized by a move away from mechanical development towards highly sophisticated electronic systems with more computational power, new operating systems and application software encompassing today's classical algorithms as well as algorithms based on Artificial Intelligence / MachinebLearning. The second subject Development Methodology is devoted to the innovated development chain, covering also functional safety aspects as well as testing and validation & verification. The third topic Technologies for the Future addresses the tools, allowing to develop safe and secure software and services. AmE 2022 allows industry and academia to freely discuss technical issues and exchange ideas. It is an excellent platform for presenting latest research work as well as technical implementations from industry. Last but not least: the social events of the AmE showed that the attendees have also other interests beside technology.

Contents:

Session 1 - Mobilität und ADAS

Leitung: A. Zlocki, fka GmbH, Aachen

1 Comparison of Communication Strategies for Maneuver Coordination of Highly Automated

Vehicles / J. Stellwagen1, M. Deegener2, M. Kuhn1

1 Darmstadt University of Applied Sciences; 2Frankfurt University of Applied Sciences

2 Determining Required Simulation Model Fidelity for Developing an Advanced Driver

Assistance System for Automated Lane Change Decision Making / C. Hürten, P. M. Sieberg, D. Schramm, University of Duisburg-Essen

Session 2 - Sensoren und KI

Leitung: R. Denkelmann, Aptiv Services Deutschland GmbH, Wuppertal

3 Potential analysis of cold braking distance performance - adaptation of the ABS to the tyre temperature / G. Warth1, L. Kroh1, P. Sieberg2, M. Unterreiner1, D. Schramm2

1Dr. Ing. h.c.F. Porsche AG, Weissach; 2University of Duisburg-Essen

4 Improved Ultrasonic Sensing Using Machine Learning / H. Gotzig1, M.-E. Mohamed1, Raoul Zöllner2, Patrick Mäder3

1Valeo Schalter u. Sensoren GmbH, Bietigheim; 2Hochschule Heilbronn;

3Technische Universität Ilmenau

5 AURIX™ TC4xx - Parallel Processing Unit (PPU) for Multi-Layer-Perceptron (MLP)

based Direction of Arrival Estimation / M. Hassan, K. Walluszik, Infineon Technologies AG, Neubiberg

Session 3 - Neue Konzepte

K. Belhoula, Continental Automotive Technologies GmbH

6 E/E Architecture Transformation - How it impacts value chain and networking technologies / T. Liebetrau, Infineon AG, Neubiberg

7 Integrated AR-Support for Diagnoses and Maintenance / K. Wundram, Ostfalia Hochschule für angewandte Wissenschaften, Wolfsburg

Session 4 - Poster

Leitung: S. Sattler, Friedrich-Alexander-universität Erlangen-Nürnberg

8 Dynamic Effects in Asynchronous Circuits / F. Deeg, S. M. Sattler, Friedrich-Alexander-University Erlangen-Nuremberg

9 Speech privacy-aware acquisition of acoustic information based on deep learning

algorithms J. Rennies, D. Hollosi, C. Rollwage, Fraunhofer IDMT, Oldenburg

10 Detection of the human skeleton on pedestrians in road traffic / K. Bartsch, T. Bertram, TU Dortmund University

11 Trustable Electronics - TRUST-E / M. Wahl, P. Stich, R. Busch, University of Siegen

12 Mid-term status report on KISSaF: AI-based situation interpretation for automated

driving / A. Stockem Novo1,2, M. M. Stolpe3, C. Diehl4, T. Osterburg4, T. Bertram4, V. Parsi5, N. Murzyn5, F. Mualla5, G. Schneider5, P. Töws6

1ZF Automotive Germany GmbH, Gelsenkirchen; 2Institute of Computer Science, Ruhr West University of Applied Sciences, Mülheim an der Ruhr; 3ZF Automotive Germany GmbH, Düsseldorf: 4Institute of Control Theory and Systems Engineering, TU Dortmund University; 5ZF Friedrichshafen AG, Saarbrücken; 6INGgreen GmbH, Koblenz Session 5 - Fahrerbeobachtung

Leitung: C. Ress, Ford Werke GmbH

13 Position Classification and In-Vehicle Activity Detection Using Seat-Pressure-Sensor in Automated Driving / K. D. Nobari1, A. Hugenroth1,2, T. Bertram1 1TU Dortmund University; 2Hella GmbH & Co. KGaA, Lippstadt

14 Gaze-Point Projection by Marker-based localization of Eye-Tracking Glasses for Examining Trust in Automated Vehicles / F. Albers, T. Bertram, TU Dortmund University

Session 7 - Hardware

Leitung: K. Belhoula, Continental Automotive GmbH

15 Models of Automotive Power Supply Components for the Transient Analysis of Switching

Events and Faults / M. Gerten, M. Rübartsch, S. Frei, TU Dortmund University

16 Development of an Artificial Galvanically Decoupled Impedance Network of Wireless Power Transfer Systems for EMI Measurements in the Frequency Range from 9 kHz to 30 MHz / S. Jeschke, M. Olbrich, M. Kleinen, J. Bärenfänger, EMC Test NRW GmbH, Dortmund; J. Loos, D. Imhof, K. Siebert, Institut für Mess- und Sensortechnik HRW, Mülheim

17 Virtual fault injection in mechatronic and electronic systems for reliability and safety

analysis / L. Ergün, R. Müller-Hainbach, S. Butzmann, University of Wuppertal

Session 8 - Security

Leitung: U. Ahlheim, Consultant, Riedstadt

18 Evaluating TTEthernet in the Automotive Domain Using Fault Injection / D. Onwuchekwa, S. Mittal, R. Obermaisser, University of Siegen

19 Cooperative and distributed cybersecurity analysis for the automotive domain / C. Schmittner, Austrian Institute of Technology, Seibersdorf, Österreich; K. Wieland, LieberLieber Software, Wien; G. Macher, Institut für Technische Informatik, TU Graz.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9781523154777

1523154772

9783800759569

380075956X