VDE/VDI GMM (Ed.)

New Book!

GMM-Fb. 108: AmEC 2024

Automotive meets Electronics & Control, 15. GMM GMA Symposium, March 14 – 15, 2024 in Dortmund

GMM-Fachberichte

2024, 94 pages, 140 x 124 mm, Slimlinebox, CD-Rom
ISBN 978-3-8007-6284-2, e-book: ISBN 978-3-8007-6285-9
Personal VDE Members are entitled to a 10% discount on this title

Content Foreword

Last year we decided to merge the two conferences Automotive meets Electronics and AUTOREG. Both conferences share many topics but there were also different foci. This joint conference covers a wider field. The first core field to mention is on applications of artificial intelligence/machine learning (AI/ML) to many different domains. Obviously, the existing algorithms are not sufficient to solve the problem of dynamically changing environments, whereas AI/ML with their inherent flexibility are much more promising. The second core field is trajectory planning, where of course a strong interaction exists with AI/ML. Additional topics cover reliability, fuel cells, sensor technology and new computer architectures which become important for automotive.

The AmEC is a conference featuring scientific papers as well as industrial keynotes, providing an excellent mixture of both worlds and thus the unique opportunity to an effective cross fertilization
Die VDE/VDI GMM hat die Aufgabe, die wissenschaftliche und technische Entwicklung im Bereich der Mikroelektronik, Mikrosystem-, Nano- und Feinwerktechnik sowie deren breite Anwendungen zu fördern. Sie initiiert den dazu erforderlichen Dialog zwischen Herstellern, Anwendern und Wissenschaft und bildet ein Forum für Diskussionen über diese Techniken in der Öffentlichkeit. Die GMM vertritt die Belange der in ihr vertretenen Arbeits- und Fachgebiete gegenüber politischen Entscheidungsträgern und bringt ihre Fachkompetenz in die Gestaltung der Förderpolitik ein.
1

Physics Informed Deep Learning for Motion Prediction in Autonomous Driving

Authors:
Tischmann, Patrick; Baumann, Robin; Stockem Novo, Anne

2

Confidence Tuned Localization through Learning in the Loop

Authors:
Schuette, Stefan; Kuhn, Markus; Bertram, Torsten

3

Application of Basis-Splines for Trajectory Planning in Highway Scenarios

Authors:
Dorpmueller, Philip; Schmitz, Thomas; Bejagam, Naveen; Bertram, Torsten

4

On the Design of Interaction-Aware SCMPC for Highway Merging Scenarios

Authors:
Kensbock, Robin; Schildbach, Georg

5

Coaction between Automobiles and Mobile Robots - Interoperability for Affordable Last Mile Delivery Solutions

Authors:
Khandelwal, Mayank Yogesh; Tendulkar, Swaraj; Kolbai, G. Alexander; Schroedel, Frank

6

AI-Based Localization and Classification of Visual Anomalies on Semiconductor Devices

Authors:
Le, Minh Khai; Chia, Jason Zi Jie; Peskes, Dennis

7

Machine learning for improving the trustworthiness of sensors

Authors:
Hussain, Ghazanfer; Thekkumthala, Levin G.; William, Peter A.; Wahl, Michael G.

8

Vision-based Autonomous Trajectory Drifting using Deep Reinforcement Learning

Authors:
Domberg, Fabian; Barkow, Ben; Schildbach, Georg

9

Challenges of Infrastructures for autonomous Buses in Cities: A review

Authors:
Becciu, Alessandro; Kamau, Edwin N.

10

11

CSAM anomaly detection with AI

Authors:
Jie, Jason Chia Zi; Krumm, Roland

12

13

14

15

Self-Locked Asynchronous Controller for RISC-V Architecture on FPGA

Authors:
Deeg, Florian; Sattler, Sebastian M.

16

Integration of a 77GHz automotive radar system into plastic surfaces using MID-technology

Authors:
Mager, Thomas; Diri, Jabil; Kneuper, Pascal; Scheytt, Christoph