ELIV 2024

Produktbeschreibung

Content
AI Automotive ASIL & GenAI
How to Integrate GenAI in Automotive Enhance GenAI or Change Development Philosophy? 1

Speeding up Generative-AI in Software-Defined Vehicles 13

Automotive Trend Session AI Automotive
Building and scaling a machine learning platform to unlock AI in connected car services 29

Quo vadis Vision Zero – Can AI help us to make our vision come true? 41

Auditing Guidelines for AI-based AD/ADAS Components focusing on AI Security 53

AI Automotive New Dimensions
From Niche to Mainstream: Harnessing Generative AI for Automotive Excellence GenAI is not Enough! 67

AI in Traffic: New Dimensions of Vehicle Intelligence New method for optimizing traffic flow through AI-based implementation of real-world traffic data from other road users 81

Enabling Automotive MLOps with Open-Source Based Software 93

Automotive Trend Session Digital Homologation
Statistical methods and Monte-Carlo simulation ensure the safety case of the environmental sensor performance in BMW’s first L3 function, the BMW Personal Pilot L3 105

The Path to Virtual Homologation
Aspects of the necessary framework for product safety in ADAS/AD 117

Software/SDV
Has the holy grail been found?
Using Linux for safety-related applications 127

State-of-The-Art of Foundation Software for Software-Defined Vehicle 133

Managing the complexity of joint steering, braking and powertrain coordination in emerging vehicle E/E architectures 141

Software Open Source
AUTOSAR and SOAFEE as Part of the SDV Alliance: Unifying the Software Defined Vehicle Ecosystem 151

Software Cloud, Connect & Rust
Automotive Vehicle Connectivity 2030 157

LightOpen – a cloud-based lighting personalization service 167

Bring TSN cloud native support to SDV architectures 179

Rust integration based on interoperability in legacy software 213

Processes SDV
SpecBook-Copilot – Efficient Formalization of Requirements using
Artificial Intelligence in the Development of MB.OS 221

Using Simulation in the Development of V2X Applications CarMaker V2X Interface and Local Hazard Warning 233

Testing Variant-Rich Software-Defined Mobility Systems Methods, Future Challenges and Innovative Concepts 243

Optimizing Electronics Architecture for the deployment of Convolution Neural Networks using System-Level Modeling 257

Automated Driving
Using Large Language Models to generate critical driving situations for virtual and hybrid ADAS/AD testing 265

Ensuring ADAS functionality during periodic technical inspection ADAS/AD functionalities over a vehicle’s lifetim 281

Ensuring high reliability inside fail-operational systems Key prerequisite for SAE L3->L5 compliant automated driving 293

Importance of CATR technology in testing 4D imaging radars 299

Transformation of Working
Collaborate with Chinese Partners to Navigate the SDV Transformation 303

Cockpit & Customer Experience In-Cabin
Immersive In-car AR Live Gaming Enabled by SDV Architecture, ADAS Cameras & AI Software 313

Biometrics and sensor fusion for enhanced in-cabin safety and comfort Reducing complexity and increasing possibilities through a holistic approach to in-cabin monitoring 327

Leveraging AI/ML Techniques in Software Defined Architecture: Towards Emotional Quotient Prediction in Smart
Automotive Cabins by Integrating Physiological and Vehicle Data. AI-driven Smart Cabin in SDV enhances vehicle experience 343

Cockpit & Customer Experience Ecosystems
Generative AI based GUI reconfiguration using Natural Language Processing Leveraging the benefits of small and local LLMs 359

Electric vehicles in 2024
Current UX challenges and concepts for the coming decade 379

Mobility System Architecture
When innovation demand meets E/E architecture Further endeavours into next-gen architectural designs 395

Managing Reuse and Dependencies of Hardware and Software Components in SDV Architectures 407

Transition from Domain to Zonal Network Architecture for Software Defined Vehicles (SDV) 419

Processes/Virtual, Simulation, Requirements
Dead in 100 ms
Responsive (customer) functions require well-designed event chains and excellent timing requirements 429

A New Era for Software Verification: Heterogeneous Multicore Compute With Model-Based Design and Virtual ECUs 437

From Reality to Simulation: Automatized Transfer and Simulation of Critical Driving Scenarios with Digital Twins 453

E-Vehicle Mobility Vehicle Range
Battery-Integrated Multilevel Inverter Technology
A Highly Integrated Electric Drivetrain Approach and its Technical Implementation in a Distributed Real-Time System 467

Boosting vehicle range by mating semiconductor technologies 477

E-Vehicle Mobility Charging Integration of chargers and the grid
How to Improve the Charging Experience of Your Customers by Better Integration with the Electricity Grid 483

Mapping the Future Role of Electric Vehicles as Energy Storage Systems: A Comprehensive Study on Current Market Trends and Future Projections for AC and DC Bidirectional Charging
Detailed Review of Market Strategies for Bidirectional Charging across 42 Global Automotive OEMs 491

Advances in Electric Vehicle Charging Mapping between User Needs and Technology 505

Electronics Technologies
Automotive eFuses: Challenges of Today and Solutions for the Future 517

Enabling an Open Eco-System for Chiplet based Automotive SoCs
Chiplets are the future for automotive SoCs and Road towards first Generations 529

Security TARA & More
TARAs Performed on Different Levels of the Supply Chain – Experiences Based on Real Example ESLF
Insights into Applying ISO/SAE 21434:2021 in Automotive Cybersecurity 541

Efficiency in UNECE R155
Type Approvals for Small OEMS – Lessons Learned 553

Security/AI
Recommendations for the practical use of Ethernet Security-Protocols and beyond 565

Contribution of Artificial Intelligence in Automotive Cyber Security Management System
More Cybersecurity through Artificial Intelligence 579

Keywords: KI Automotive, generative KI, maschinelles Lernen, Fahrzeug Intelligenz, digitale Homologation, software gesteuertes Fahrzeuge, automotive Fahrzeug Konnektivität, automatisiertes Fahren, AI Automotive, GenAI, machine learning, vehicle intelligence, digital homologation, software-defined vehicle, automotive vehicle connectivity, automated drving