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Solution Study: From autonomy to centralization – The role of autonomous driving in the development of central computing systems

This presentation explores the development of autonomous vehicle architecture, focusing on the core modules of perception, decision-making, and actuation. These modules are essential for environmental data collection, decision-making, and execution of driving actions, which form the foundation of autonomous vehicles. With increasing demands on autonomous systems, the need for greater computing capacity and the integrationRead more

Solution Study: SOTIF and ISO PAS 8800 – Ensuring safe AI in autonomous systems

This talk provides an in-depth analysis of the SOTIF standard and the ISO PAS 8800, elucidating their roles in guaranteeing the safe integration of AI into AVs. It highlights the potential risks of non-compliance associated with inadequately regulated autonomous driving technologies. Furthermore, methodologies for assessing the safety of autonomous systems are explained, including risk analysis,Read more

Solution Study: Unified safety & security verification in automotive

The growing complexity of automotive embedded systems has led to an increasingly critical need for safe and secure software. Traditionally, safety and cybersecurity verifications are conducted separately, resulting in duplicated or tripled V-cycle efforts. This talk explores how formal methods empower C/C++ and Rust developers to proactively address specific categories of vulnerabilities and bugs inRead more

Solution Study: Reducing system risk through FuSA-centric device selection

The growing momentum of vehicles with increasing levels of ADAS has heightened the focus on functional safety. ISO26262 compliant memory components will simplify system level safety cases and, hence, greatly benefit automakers designing memory and storage subsystems for their next generation vehicles. Micron disrupted the industry in 2022 through the introduction of the industry’s firstRead more

Case Study: Implementing ISO 5469 for functional safety and AI systems in AVs

The newly established ISO 5469 standard provides a comprehensive framework for defining, validating, and integrating safety measures for AI-driven components. It emphasizes the integration of AI into safety functions, ensuring safety for AI-controlled systems, and utilizing AI in the development of safety-related functions. This distinction highlights ISO 5469’s focus on practical application and implementation. This presentationRead more

Solution Study: Accelerating ADAS/AD validation – A scenario-based approach to streamline verification under regulatory constraints

Validating ADAS and AD systems is increasingly complex, requiring a balance between exhaustive testing, regulatory compliance, and development speed. This presentation introduces a scenario-based verification solution that streamlines validation by intelligently selecting test cases, reducing redundancy, and ensuring compliance with ISO 26262, ISO/TS 5083, and UNECE regulations. Attendees will learn how this approach enhances efficiency,Read more

Solution Study: Generative AI for requirements management and continuous homologation in autonomous engineering

Expand your ODD and cover new geographical regions by fine-tuning LLM and augmenting autonomous driving scenarios with abstract knowledge and natural language in standards, regulations and laws. Speeding up the adoption of autonomous driving. It’s a trust-race, not a technology-race. In this session, you will learn more about: Generative AI and Large Language Models forRead more

Start-Up Lounge

1 start-up – 5 min – multiple opportunities: The most innovative start-ups showcase their services, products in a dedicated session during the conference. Don’t miss the chance to meet our selected start-ups at the end of the break in the plenary room and network with them at any time during the conference to learn moreRead more

Solution Study: Validating radar perception algorithms through lab-based OTA test environment

Strategies based on Digital Twins and Software Defined Vehicles are echoing through every automotive industry hallway these days. Less prominently covered are the inherent – often missing – structural changes and tools required to support the development and validation steps of these strategies. In automotive radar, perception is crucial to the sensor’s value-add in ADAS/AD functionality.Read more

Case Study: Data-driven development for autonomous vehicles – From data recording to data generation

Autonomous driving relies on robust AI systems that require extensive training with vast amounts of data. However, data volume alone is not enough—its quality is equally critical. High-quality data must cover a balanced and relevant set, accurately representing the entire ODD of the vehicle. To meet these requirements, various data acquisition methods can be employed:Read more