ELIV 2024

VDI Wissensforum GmbH

doi:10.51202/9783181024416

Zusammenfassung

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 Aspec...

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Bibliographische Angaben

Copyrightjahr: 2024
ISBN-Print: 978-3-18-092441-0
ISBN-Online: 978-3-18-102441-6
Verlag: VDI Verlag, Düsseldorf
Reihe: VDI-Berichte
Band: 2441
Sprache: Deutsch
Seiten: XVI
Produkttyp: Sammelband

Inhaltsverzeichnis

KapitelSeiten

Titelei/Inhaltsverzeichnis Kein Zugriff Seiten I - XIV
1. How to Integrate GenAI in Automotive Enhance GenAI or Change Development Philosophy? Kein Zugriff Seiten 1 - 12 U. Bodenhausen
2. Speeding up Generative-AI in Software-Defined Vehicles Kein Zugriff Seiten 13 - 28 J. Richenhagen, M. Engelhard, J. Jeub, S. Kriebel, A. Kugler
1. Building and scaling a machine learning platform to unlock AI in connected car services Kein Zugriff Seiten 29 - 40 S. Zimmermann, W. Lenders, T. Lian Abt, M. Kuhn, P. Weber, A. Ganser
2. Quo vadis Vision Zero – Can AI help us to make our vision come true? Kein Zugriff Seiten 41 - 52 P. Dreiseitel, R. Grewe
3. Auditing Guidelines for AI-based AD/ADAS Components focusing on AI Security Kein Zugriff Seiten 53 - 66 G. Schneider, F. Woitschek, A. von Twickel, R. Plaga
1. From Niche to Mainstream: Harnessing Generative AI for Automotive Excellence. GenAI is not Enough! Kein Zugriff Seiten 67 - 80 A. Vickers, P. Fintl, D. Hughes, M. Roberts
2. 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 Kein Zugriff Seiten 81 - 92 K. Szelechowicz, K. A. Rösler
3. Enabling Automotive MLOps with Open-Source Based Software Kein Zugriff Seiten 93 - 104 X. Wang, A. Hübner, M. Kühl, B. Zlotnik
1. 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 Kein Zugriff Seiten 105 - 116 A. Schleich, F. Modes, T. Schaller, M. Werling
2. The Path to Virtual Homologation Aspects of the necessary framework for product safety in ADAS/AD Kein Zugriff Seiten 117 - 126 C. Wiegand, F. Sontheim, J.-E. Stavesand, A. Amoroso, S. Rößner
1. Has the holy grail been found? Using Linux for safety-related applications Kein Zugriff Seiten 127 - 132 M. Neukirchner
2. State-of-The-Art of Foundation Software for Software-Defined Vehicle Kein Zugriff Seiten 133 - 140 L. Hendrawan, R. Martin, L. Abdelkader
3. Managing the complexity of joint steering, braking and powertrain coordination in emerging vehicle E/E architectures Kein Zugriff Seiten 141 - 150 N. Haegele
1. AUTOSAR and SOAFEE as Part of the SDV Alliance: Unifying the Software Defined Vehicle Ecosystem Kein Zugriff M. Niklas-Höret, B. Rill
1. Automotive Vehicle Connectivity 2030 Kein Zugriff Seiten 157 - 166 G. Schmitt, F. Fitzek, M. Gruffke
2. LightOpen – a cloud-based lighting personalization service Kein Zugriff Seiten 167 - 178 M. Peter
3. Bring TSN cloud native support to SDV architectures Kein Zugriff Seiten 179 - 212 F. Ozog
4. Rust integration based on interoperability in legacy software Kein Zugriff Seiten 213 - 220 P. Faymonville, C. Schwager
1. SpecBook-Copilot – Efficient Formalization of Requirements using Artificial Intelligence in the Development of MB.OS Kein Zugriff Seiten 221 - 232 M. Obstbaum, I. Wior, J. Kasper, P. Vaudrevange, S. Khan, M. Keckeisen, M. Staib, R. Freitag, J. Schneider
2. Using Simulation in the Development of V2X Applications CarMaker V2X Interface and Local Hazard Warning Kein Zugriff Seiten 233 - 242 V. Lizenberg, F. Specka, J. Hauenstein, M. Mayer
3. Testing Variant-Rich Software-Defined Mobility Systems Methods, Future Challenges and Innovative Concepts Kein Zugriff Seiten 243 - 256 L. Hettich, J. Stümpfle, M. Weyrich
4. Optimizing Electronics Architecture for the deployment of Convolution Neural Networks using System-Level Modeling Kein Zugriff Seiten 257 - 264 D. Shankar, T. Jose
1. Using Large Language Models to generate critical driving situations for virtual and hybrid ADAS/AD testing Kein Zugriff Seiten 265 - 280 L. Eisemann, L. Toettel, T. Watzl, T. K. Rupp, J. Schaper
2. Ensuring ADAS functionality during periodic technical inspection ADAS/AD functionalities over a vehicle’s lifetim Kein Zugriff Seiten 281 - 292 T. Ost, D. Petanjek, M. Beer
3. Ensuring high reliability inside fail-operational systems Key prerequisite for SAE L3->L5 compliant automated driving Kein Zugriff Seiten 293 - 298 L. Badescu
4. Importance of CATR technology in testing 4D imaging radars Kein Zugriff Seiten 299 - 302 A. Jain
1. Collaborate with Chinese Partners to Navigate the SDV Transformation Kein Zugriff A. Wang
1. Immersive In-car AR Live Gaming Enabled by SDV Architecture, ADAS Cameras & AI Software Kein Zugriff Seiten 313 - 326 P. Reilhac, C. Nowakowski, A. Manila, J. Almeida
2. Biometrics and sensor fusion for enhanced in-cabin safety and comfort Reducing complexity and increasing possibilities through a holistic approach to in-cabin monitoring Kein Zugriff Seiten 327 - 342 W. Steinmann, B. Sondermann
3. 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 S... Kein Zugriff Seiten 343 - 358 S Gowrishankar, KV Muralidhara, M. Ghivari
1. Generative AI based GUI reconfiguration using Natural Language Processing Leveraging the benefits of small and local LLMs Kein Zugriff Seiten 359 - 378 T. Schäfer, J. Kottig, D. Macke
2. Electric vehicles in 2024. Current UX challenges and concepts for the coming decade Kein Zugriff Seiten 379 - 394 A. Bachmann, A. Matarage
1. When innovation demand meets E/E architecture Further endeavours into next-gen architectural designs Kein Zugriff Seiten 395 - 406 T. Huck, A. Achtzehn
2. Managing Reuse and Dependencies of Hardware and Software Components in SDV Architectures Kein Zugriff Seiten 407 - 418 F. Schreiner
3. Transition from Domain to Zonal Network Architecture for Software Defined Vehicles (SDV) Kein Zugriff Seiten 419 - 428 F. Ottofuelling
1. Dead in 100 ms. Responsive (customer) functions require well-designed event chains and excellent timing requirements Kein Zugriff Seiten 429 - 436 O. Schmidt, R. Münzenberger, M. Glück
2. A New Era for Software Verification: Heterogeneous Multicore Compute With Model-Based Design and Virtual ECUs Kein Zugriff Seiten 437 - 452 K. Brand, T. Tang, D. Selvaraj
3. From Reality to Simulation: Automatized Transfer and Simulation of Critical Driving Scenarios with Digital Twins Kein Zugriff Seiten 453 - 466 N. Neis, L. Eisemann, D. Hermann, J. Zhou, L. Toettel
1. Battery-Integrated Multilevel Inverter Technology A Highly Integrated Electric Drivetrain Approach and its Technical Implementation in a Distributed Real-Time System Kein Zugriff Seiten 467 - 476 D. Simon, T. Wenka
2. Boosting vehicle range by mating semiconductor technologies Kein Zugriff Seiten 477 - 482 M. Münzer, S. Zhang, C. Bauer, D. Graovac
1. Integration of chargers and the grid How to Improve the Charging Experience of Your Customers by Better Integration with the Electricity Grid Kein Zugriff Seiten 483 - 490 T. van Wijk
2. 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 Ma... Kein Zugriff Seiten 491 - 504 F. Cigarini
3. Advances in Electric Vehicle Charging Mapping between User Needs and Technology Kein Zugriff Seiten 505 - 516 M. Stapelbroek, R. Savelsberg, M. Wegener, M. Faßbender
1. Automotive eFuses: Challenges of Today and Solutions for the Future Kein Zugriff Seiten 517 - 528 C. Lankeit, R. Dorociak, M. Teuber, O. Lüdtke, J. Ziethen
2. Enabling an Open Eco-System for Chiplet based Automotive SoCs Chiplets are the future for automotive SoCs and Road towards first Generations Kein Zugriff Seiten 529 - 540 M. Schaffert
1. 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 Kein Zugriff Seiten 541 - 552 T. Liedtke, R. Messnarz
2. Efficiency in UNECE R155. Type Approvals for Small OEMS – Lessons Learned Kein Zugriff Seiten 553 - 564 F. Langner, W. McCaig, T. Nilges
1. Recommendations for the practical use of Ethernet Security-Protocols and beyond Kein Zugriff Seiten 565 - 578 S. Schran, R. Jung, A. Mukherji
2. Contribution of Artificial Intelligence in Automotive Cyber Security Management System More Cybersecurity through Artificial Intelligence Kein Zugriff Seiten 579 - XVI U. Akcakoca