Plenary opening session
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Personal mobility is the heartbeat of modern life, but the vehicle is undergoing its biggest shift since the assembly...
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Embodied AI (eAI), also called Physical AI, uses artificial intelligence based on machine learning to interact with the physical...
Safe Autonomous Deployment
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As autonomous vehicle technologies move closer to large-scale deployment, ensuring safety, reliability and public trust is critical. In this...
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This presentation examines how driver readiness requirements differ across vehicle automation levels. While automation improves safety, sustaining driver alertness...
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Autonomous driving in public transportation introduces new challenges for technology, operations and organizations. The KIRA project is one of...
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The U-Shift IV is a modular vehicle concept featuring a distinct separation between the U-shaped driveboard and the interchangeable...
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Recent advances in semi-autonomous driving (L2+) have enabled features such as automated parking, vehicle summon and highway autopilot through...
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With software defining the vehicle, automotive innovation is shifting from hardware to intelligence. Assisted driving is rapidly expanding from...
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Presentation of Vaive Logistics’ real-world experience in deploying autonomous delivery robots for sustainable last-mile logistics, showcasing ONA, an autonomous,...
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Uscale has conducted a large-scale study on the user perspective on ADAS. While manufacturers have extensive technical evaluations, there...
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Learn how Adastec’s SAE Level 4 automated driving software platform, flowride.ai, enables automated public transit services operating commercially across...
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Starting with the autonomy-level outlook, the presentation will compare regional adoption paths, highlighting EU L2+ growth (driven by regulation,...
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The presentation will cover: road safety issues (DEKRA yearly road safety reports, global issues, vehicle type impacts); the ...
Software, AI & SDV Architecture
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The shift toward SDVs promises unprecedented flexibility, scalability and continuous feature evolution across the automotive lifecycle. However, for ADAS...
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Physical AI is becoming more and more prominent in highly automated driving systems (ADS). Many new ADS architectures are...
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As sensor bandwidths grow and autonomy demands real-time environmental understanding, the pressure on SoC design continues to intensify. The...
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In the realm of automotive software development, the integration of large-scale AI models into autonomous vehicles is becoming increasingly...
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Decoupling software from hardware is central to the development of software-defined vehicles and ultimately autonomous vehicles, yet many auto...
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DITM (Digital Infrastructure for Future Mobility) advances AD and ADAS by tightly integrating vehicle functions with digital infrastructure. This...
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Fitness-for-purpose (F4P) analytics is a novel methodology for assessing the reliability of AI-based perception in automated driving systems. It...
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Perception accuracy in physical AI systems for autonomous driving is increasingly limited by slow, hardware-bound iteration across the sensor-to-silicon...
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The automotive industry is undergoing one of its most significant shifts ever: cars are becoming increasingly software-driven, and this...
Simulation and Testing, Scenarios & Virtual Validation
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Physical testing efforts for automated driving systems are increasing due to higher automation levels and more rigorous approval requirements....
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This joint presentation by Volkswagen Group and Keysight Technologies outlines an approach for generative AI-based creation and validation of...
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This research presents a machine learning pipeline for evaluating the realism of synthetic lidar point clouds generated by AWSIM,...
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Ensuring proven safety is the biggest limiting factor for automated driving. New distributed vehicular architectures, shifting from traditional ECUs...
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ADAS require reliable sensor alignment over the entire vehicle lifecycle. This paper presents a lifecycle-oriented approach combining in-line sensor...
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AD technology is shaping fast, with end-to-end AI stacks entering the market quickly. But how to prove it is...
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The presentation takes a deep dive into the current approaches taken by different vehicle manufacturers in their journey toward...
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The presentation provides an overview of the research pertaining to an advanced connected and automated vehicle (CAV) platform deployed...
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IRT-SystemX presents a method for automatically detecting abstract traffic scenarios in live simulations and instantiating them as concrete, testable...
Standards, Regulation & System-Level Interoperability
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Expect an overview of AVSC and how each best practice has built upon others to outline a safety case,...
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This presentation provides an update on the next evolution of the ASAM OpenX standards for simulation-based ADAS and automated...
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The IMoGer project is funded by the German Federal Ministry of Transport (Bundesministerium für Verkehr, BMV). As part of...
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When an autonomous vehicle accelerates, yields, overtakes, or stops, it implicitly makes a claim: ‘this behavior is legal’. But...
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The SUNRISE project is a €13m EU-funded initiative (2022-2025) that established a harmonized framework for safety assurance of cooperative,...
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Safety assessment has become one of the major interests in most countries that are adopting future automotive technology to...
ADAS and Level 2 takes off with +++ performance. A review of regulation, design, digital and physical validation, tooling and methods to reach safety performance globally
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As advanced driver assistance systems rapidly evolve, the industry is entering a new phase beyond traditional Level 2 automation....
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Situation awareness (SA) is key for cognitive mastery of complex dynamic situations, such as driving is. The main SA...
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o As Advanced Driver Assistance Systems (ADAS) and Automated Driving (AD) grow in complexity, automotive companies must move faster without...
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The digital homologation of certain ADAS functions (AEB) is now possible thanks to developments in regulatory texts. The extension...
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In this presentation, we analyze different high-level perception architectures for L3 ADAS using lidar and HD radar data. First,...
