ELIV 2023

Produktbeschreibung

Content

Automated Driving – Systems
Criticality driven data acquisition in autonomous driving – A basis for completeness and safety argumentation 1

Vehicle-to-vehicle (V2V) communication as enabler for improved automated driving functions 17

Electronics Technology
Estimation of Gender and Age of Vehicle Occupants Using Deep Learning 27

QuietComfort Road Noise Control – Helping Carmakers Design Better Cars 39

New Opportunities with Software Defined Lighting – Appearance drives Emotionalization 61

E Vehicle Mobility – System
A Holistic Approach for Designing a Battery Electric Vehicle Thermal Management System 77

Safe and efficient regenerative braking strategies for BEV heavy vehicle combinations 91

A Cloud-based Self-Learning Digital Twin Solution for Increasingly Accurate Range Prediction in Battery Electric Vehicles 103

Automated Driving – Sensors
Using Radar and Vision Fusion for Improved Low-light Pedestrian Detection 113

Automotive Radar Technology Innovations power next-gen ADAS and Autonomous Driving 133

Combining ADAS and SD Maps for Augmented Reality Guidance 135

Development and Testing Autonomous Vehicles (AV) at Scale 149

Vehicle Architecture – Strategy
Plug & Play High-Performance Computer (HPC) and Fluid Cooling Solution 159

Strategically Migrating, Mapping and Scaling Software to new SoC, domain and zone architectures and HPC 169

Towards the next step in vehicle E/E architectures 185

Mastering the software update complexity of modern vehicles 199

E Vehicle Mobility – Components
How to Improve EV Battery Cell Quality – Making Test a Competitive Advantage 211

Analysis of WBG based hybrid semiconductors approach for bidirectional PFC in On-board charger applications 223

Power electronic system technology for future high-power charging systems on highways or large inner-city electric charging stations with several MVA system size 235

Multi-level GaN inverter for highest HV EV performance and efficiency – comparison of 2-level and 3-level inverter topology 247

Software
Snapdragon Ride Flex SoC: The central compute solution that’s bringing the SDV vision to reality 253

Maintaining Open-Source based Software 267

Automotive AI – Innovations
How to Become a Leader by Development of AI – ChatGPT Research Papers Analysed 281

Seeing with Sound: AI-Based Detection of Participants in Automotive Environment from Passive Audio 293

Vehicle Architecture – Aspects
Continuous System Architecture Development for Automated Driving Features 307

New EE Architecture – MB.OS 1.0, the digitalization of the E/E architecture of Mercedes-Benz 321

Connectivity
Achieving Ubiquitous Connectivity for Future Vehicles 331

Cooperative Perception Services to Improve the Safety of Road Users 347

A Holistic Approach for a Universal Vehicle-to-Robot (V2R) Communication Interface 365

Software
A unified middleware for SoC-agnostic application development 379

Automotive OS reloaded – Refocus and Reality Check 385

Automotive AI – Applications
AI-Based Energy Management of Next Generation Architectures 391

Generative Artificial Intelligence – How AI Models Change the Way We Develop Automotive Products 405

Validation and Interpretation of Neural Networks: DNN-Based Object Detection as an Example 419

System Engineering and Processes
Virtual Homologation – new opportunities for the automotive industry to enable more efficient development processes and improving safety and quality of vehicles for high scaling software updates 437

An Approach to Digital Lifecycle Management as a Service 443

Master Algorithm for Event-based Co-Simulation with FMI 3.0 for Timing Accurate Software-in-the Loop 447

Security – Vulnerabilities
Automotive Software Vulnerabilities: Strategies for Early Detection, Mitigation, and Prevention in the Software-Development-Lifecycle 463

Supply chain security risks of software driven products 479

Tales from a Penetration Testing Team 497

Panel Discussion
A leap in innovation – What European OEMs can learn from Chinese OEMs in terms of User Experience 503

Software – Cloud & Data
Sustainable Software Development for Cloud-Native Vehicles 519

Rust for Automotive – A Modern, Memory-Safe and Secure Programming Language 533

Software-Defined Vehicle: Combining Real-Time Safety Critical Functions with Cloud Connectivity 543

System Engineering and Processes
Challenges in the Synchronous Development of Software, Hardware and Mechanics for Drive Systems 559

A Review of using Artificial Intelligence in Large Projects for Requirements Classification 573

Addressing the challenge of “integrating everything” 589

Security – Challenges
Why Trusted Execution Environments are Critical for Automotive Security 599

Distributed development along the automotive supply chain: 8 insightful recommendations for OEMs and suppliers to jointly implement cybersecurity 613

Where is Everybody? – Looking for Remote Attacks on Cars in the Wild 623

Electronics for Commercial Vehicles 2023
SAE J1939 in AUTOSAR – CAN FD and CAN XL – Achieve Higher Data Rates for J1939 Communication in AUTOSAR 635

Event-Chain-Focused Development of System Architectures Makes Complex Systems Manageable 645

How Data-driven Approaches Enhance Agile and Quality-assured Software Development for AD 663

An evolutionary approach to commercializing autonomous vehicles 673

Key Factors of a robust and safe Automated Driving Function – Transferable Insights of City-Bus Platooning in Munich 677

Hydrogen – A Game Changer in the Automotive Industry … and Beyond 689

Electrified commercial vehicle trailers – how to turn a conventional trailer into a hybrid vehicle 703

Modular High Power DC/DC Platform for FC-Applications 711

Keywords: Autonomes Fahren, Straßenlärmkontrolle, effizientes regeneratives Bremsen, Sicherheits Optimierung, Kommunikations Schnittstelle, DNN-basierte Objekt Erkennung, künstliche Intellingenz, KI, hybrides Fahrzeug, autonomous driving, road noise control, efficient regenerative breaking, safety improvement, communication interface, DNN-based object detection, artificial intellingence, AI, hybrid vehicle