May 20, 21 & 22, 2025
Hall 9, Messe Stuttgart, Germany

Conference Program

Developing the autonomous vehicle

The 2025 conference draws together over 80 expert speakers from all aspects of autonomous mobility. Key topics will focus on the development and testing of safe autonomous driving and ADAS technologies and will include software, AI and deep learning, sensor fusion, virtual environments, verification and validation of autonomous systems, testing and development tools and technologies, real-world word test and deployment, and standards and regulations. If the future of ADAS and autonomous vehicle development impacts your business, this is a must-attend conference. See full conference streams and seminar details below.

 

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Challenges, innovations and outlook surrounding the development and safe deployment of ADAS and AV technologies
 09:00 - 12:25
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    This presentation provides an overview of the ongoing activities of the European Commission in the field of assisted and...
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    Removing the human driver fundamentally changes what we actually mean by acceptable safety. A simplistic 'safer than human driver'...
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    With the aim of improving driver comfort and road safety, OEMs have been pushing the boundaries of Advanced Driver...
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    This presentation provides a technical overview of the updated UK topic roadmap for verification, validation and assurance (VVA) in...
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    The concept of Operational Design Domain is generally accepted to be an essential part of development, testing and approval...
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WORKSHOP
 12:30 - 13:30
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    Participants will learn how to specify the ODD in a machine readable and human interpretable fashion. Together, we will...
Regulations, standards, homologation and certification
 14:00 - 17:00
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    A global team of 52 participants from 21 companies is developing ASAM OpenMATERIAL, a standard for 3D model and...
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    This presentation explores the indispensable role of periodical technical inspections (PTIs) in maintaining the safety, reliability and compliance of...
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    Many companies in the ADS landscape see the complexity of regulations and standards as a major hurdle to efficiently...
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    AI-driven systems introduce dynamic learning, adaptability and continuous updates, posing significant challenges to traditional homologation methods. The objective of...
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AI, software, architecture and data. ADAS/AD and the SDV
 09:00 - 17:00
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    The synergy between the evolving automotive landscape and advances in cloud computing, virtualization and AI has not only improved...
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    The journey from groundbreaking research to scalable development in advanced driver assistance systems (ADAS) is a complex yet crucial...
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    The presentation will offer an outlook on ADAS/AD architecture, including improvements from 2018 to 2030 from SLAM to mapless...
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    The concept of a software-defined vehicle (SDV) has become a hot topic across the automotive industry as automakers look...
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    In the current work we propose a method to apply generative AI GAN methodology on a hardware-aware NN for...
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    The AutoSeg Vision Foundation model is an artificial intelligence framework powering camera-based scene understanding for autonomous driving, developed by...
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    Building a fully trainable AD stack is a promising approach to efficiently build and scale an AD system. Transformer...
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    AI tools are increasingly being used in cyberattacks and defense mechanisms. This is shifting the paradigm of cyber defense...
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    From ChatGPT to generative world models for autonomous driving (AD), data for AI model training must be high performance,...
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    One of Red Hat’s core partner requirements centers around mixed criticality (MC), where safety and non-safety applications run simultaneously...
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    This presentation will explore the role of SOTIF (Safety of the Intended Functionality) in ensuring continuous safety in autonomous...
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    End-to-end AI (e2e AI) is drawing attention in the automotive industry, yet questions remain about its safety and practical...
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    Unlike traditional modularized autonomous driving based on high-definition maps, the end-to-end model DeepRoute IO introduced by DeepRoute.ai doesn't need...
Safety requirements and demonstration: validation and tooling with a L2+ L3 focus
 09:00 - 12:25
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    The presentation will cover vehicle automation and system ergonomics screening, automation of driving and co-action issues, and situation awareness...
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    PFA will present the status of the French regulatory framework for ADS (automated driving systems) and ARTS (automated road...
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    The distinction between L2++ and L3 advanced driving systems is often blurred and overlooked. However, L3 systems introduce additional...
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    The purpose of this presentation is to highlight the current regulatory context for assisted and automated systems with regard...
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    Detecting lost cargo on highways poses a critical and stringent challenge for Level 3 Autonomous Driving Systems (ADS), especially...
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    After the hype of autonomous driving, the automotive industry has understood that higher-level autonomy increasingly requires the involvement of...
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    The deployment of advanced Level 2 systems has seen a rapid acceleration in recent years. L2 systems have evolved...
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Real-world and integrated virtual testing
 13:30 - 16:30
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    Shared autonomous services are transforming urban mobility, offering solutions to urbanization and climate challenges. For software and vehicle providers,...
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    Autonomous driving will be key for the future of public transportation services. This session will highlight the potential of...
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    Automated driving systems are increasingly being introduced to public traffic. Road markings are used to transfer information about a...
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    FEV.io GmbH participates in the HiDrive project and has developed and tested AD highway driving function with V2V support...
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    The DLR eV German Aerospace Center's Institute of Vehicle Concepts presents the architecture and challenges of the automated vehicle...
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    The presentation will outline the project's history and experiences from Level 2 until Level 3: how to innovate and...
Developments in scenarios, simulation, validation and in-the-loop testing
 09:00 - 10:40
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    This presentation explores the transformative potential of large language models (LLMs) in shaping the next generation of advanced driver...
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    Testing car safety functions is a challenging job. The lab setup is an efficient way to test different safety...
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    A comprehensive test strategy using sensor data is required to ensure the proper operation of computer vision-based perception and...
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    Our presentation introduces a state-of-the-art closed-loop hardware-in-the-loop (HIL) simulation framework designed specifically for testing automotive embedded systems with real...
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Regulations, standards, homologation and certification (continued)
 11:10 - 12:50
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    NHTSA FMVSS 127 will become mandatory for SOP 2029 vehicles. US NCAP declared the new tests and probably EURO...
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    The new UNECE Regulation No. 171 on driver control assistance systems (DCAS) established new minimum safety requirements for vehicle...
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    This presentation explores the critical role of traffic rule compliance assessment in the approval and authorization of automated driving...
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    Agile methodologies are increasingly important in the automotive industry due to the market's evolving needs and challenges, such as...
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Safety innovations and best practices for their development and deployment
 13:55 - 16:30
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    Most studies in road safety show that more than 90% of fatal crashes are caused by human driver factors....
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    Testing is an integral part of ensuring safety for automated driving systems. Moving away from distance-based approaches, scenario-based development...
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    Reliable ADAS and automated driving (AD) validation depends on high-quality simulation data. The ENVITED-X Data Space provides a trusted...
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    If we want to estimate safety gains with simulation, how can we do this properly? There are choices in...
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    Safety assessment has become one of the major interests in most developing countries to reduce road accidents and minimize...
Developments in scenarios, simulation, validation and in-the-loop testing (continued)
 09:00 - 15:00
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    High-quality data collection and selection are the cornerstones of ADAS and autonomous driving development. This presentation explores key prerequisites...
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    Autonomous driving implementation continues its shift to use AI technologies. These technologies require new capabilities for the development and...
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    Future mobility solution development requires a high volume of data to be analyzed for both quality and quantity. ZF...
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    Increasing levels of driving automation in more complex ODDs demand effective ways to continuously develop and verify software across...
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    The presentation gives current insights into efficient data acquisition for ADAS and autonomous driving ECUs and how this benefits...
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    2025 has the potential of being a pivotal year for Automated Vehicles (AV) ecosystem, with various large-scale deployments in...
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    The upcoming Euro NCAP 2026 safety rating and FMVSS 127 regulation introduce stringent requirements, such as high-speed collision avoidance,...
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    Driving simulators often struggle to accurately simulate vulnerable road users (VRUs) in safety-critical scenarios. We present a framework integrating...
Safety innovations and best practices for their development and deployment (continued)
 09:00 - 12:00
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    Interior sensing is transforming ADAS by providing critical real-time insights into driver attention, occupant behavior and in-cabin environments. Traditionally,...
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    The United Nations Economic Commission for Europe (UNECE) World Forum for the Harmonization of Vehicle Regulations (WP.29) in March...
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    This presentation will cover the recent progress in in-cabin sensing, which goes beyond traditional driver monitoring systems, showing how...
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    Data visualization for an automotive presentation: the key is to abstract complex information into easily understandable graphics that convey...
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    To guarantee the precise validation of sensor models in harsh weather conditions, AVL has developed a weather chamber (1.700...
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Connectivity, mapping and positioning
 13:20 - 15:00
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    AnteMotion revolutionizes ADAS and autonomous vehicle development with an automated toolchain that transforms HD maps into OpenDrive files and...
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    China is currently leading in vehicle automation. Most of the Chinese OEMs have so-called Level 2++ systems on the...
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    The development of automated driving systems requires reliable, interoperable map data for navigation, ADAS and other safety features. Overture...