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GMM-Fb. 95: AmE 2020

Automotive meets Electronics Beiträge der 11. GMM-Fachtagung, 10. - 11. März 2020 in Dortmund

Diese Publikation zitieren

VDE/VDI-GMM(Hg.), GMM-Fb. 95: AmE 2020 (2020), VDE Verlag, Berlin, ISBN: 9783800752034

Getrackt seit 05/2018


Beschreibung / Abstract

The world of Automotive and Electronics has been changing continuously
Technologies that have been discussed as projects for the future are now available in every new car, and progress toward autonomous driving is visible, although the future will still bring many challenges to master.
The AmE is the perfect place to discuss these challenges, both from the technical as well as the legal and societal side.
Sensors become more and more powerful which allows to get a better image of the car surroundings. Increasing computational power helps to fuse data from different sources such as RADAR, LIDAR, camera and ultrasound, enhanced and combined with information from Car-2-X communication and off-board services.

Nevertheless, there are plenty of unresolved issues.
On the hardware side, high computational power requires efficient chips, implemented in state-of-the-art technology, which is right now 7nm. New assembly technologies for vertically stacked dies as they are used in high-end GPUs, lead to very compact devices with a high power density. This implies forced cooling, a new concept with few experiences, in particular with respect to long term reliability.
On the software side, the construction of the car surroundings is still far away from being perfect. Whereas scenarios such as driving on a motorway are well understood, it is right now unimaginable to drive a car autonomously through a crowded downtown with thousands of bikes and pedestrians, all with a certain ignorance of the traffic rules.

AmE addresses industry as well as academia to improve the communication between the two mentioned worlds, triggering new ideas. AmE is also an excellent platform for presenting research work and getting immediate feedback from application engineering. This interaction is one of the main strengths of the AmE and a real magnet for all participants.


  • GMM-Fachbericht 95: AmE – Automotive meets Electronics
  • Sponsoren
  • Titelseite
  • Impressum
  • Vorwort
  • Programmkomitee
  • Inhalt
  • Session 1 – Reliability
  • 1 Reliability Calculation of Printed Circuit Boards and Assemblies under Reference, Test and Operating Conditions
  • 2 The TRACE Methodology
  • Session 2 – Advanced Driver Assistance Systems
  • 3 Object Classification in the Fixation of a Car Driver
  • 4 ThreatGet: Threat Modeling Based Approach for Automated and Connected Vehicle Systems
  • 5 Local and String Stability Conditions of a Generalized Adaptive Cruise Control System
  • Session 3 – Networks
  • 6 Optimization of Power and Signal Distribution Systems for Advanced Safety Features
  • 7 Phase Relation for the Signaling from an Automotive Ethernet 100BASE-T1 Communication System
  • 8 Signal Improvement Capability (SIC) for CAN FD Networks
  • Session 4 – Poster
  • P1 Data-Driven BEV Modeling for Realistic Consumption Calculation in Traffic Simulation
  • P2 Solder Joint Fatigue Testing with Harsh Temperature Rates: Influence of Dwell Time
  • P3 Graphical Data Visualization for Vehicular Communication Systems in Real and Virtual Test Environments
  • P4 Digital Obsolescence Management for the Automotive Industry
  • P5 A Search for Visual Features in Adversarial Networks
  • P6 Asynchronous Design
  • P7 Filter Design in the High Voltage System of Electric Vehicles with Respect to Ripple Limits
  • P8 Scenario-Based Meta-Scheduling for Power Performance Optimization Supporting Core and Router Frequency Scaling in Time-Triggered Multi-Core Architectures
  • Session 5 – Algorithms and Modelling
  • 9 Learning a Map to Predict Recuperation for Efficiency in Automotive Electrical Energy Management
  • 10 A Simulation-based, Statistical Approach for the Derivation of Concrete Scenarios for the Release of Highly Automated Driving Functions
  • 11 Automotive Power System Model Validation Using Impulse Response Analysis
  • Session 7 – Sensor Systems
  • 12 Parameter Identification of Vehicle Dynamics Models Using CAN Communication on Real-life Driving Data
  • 13 Functional Simulation of Automotive Lidar and Camera Sensors
  • 14 Vehicle Environment Recognition for Safe Autonomous Driving: Research Focus on Solid-State LiDAR and RADAR
  • 15 Head- und Eyetrackingsysteme im Fahrzeug: Technologische Potentiale
  • Session 8 – Factors Influencing Automated Driving
  • 16 Impact of Highly Efficient Power Electronics on the EMC in Electric Vehicles with Autonomous Driving Functions
  • 17 Active Cancellation of Periodic Electromagnetic Disturbances for Passive Filter Reduction in Automotive dc-to-dc Converters
  • 18 Efficient Automotive On-Board Chargers for the Volume Ramp-Up of E-Mobility
  • GMM-Fachberichte im Überblick
  • Ihre Meinung zählt!

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