Blog

Imagine a self-driving car navigating a busy city street. It detects pedestrians, reacts to sudden obstacles, and ensures passenger safety – all in milliseconds. But behind the scenes, hidden from view, lies an invisible force that makes it all possible: the C and C++ compilers and libraries that transform complex ADAS software into machine-executable code.Read more

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

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

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

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

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

Validating ADAS and AD systems is increasingly complex, requiring a balance between exhaustive physical and simulation testing, regulatory compliance, and development speed. This approach streamlines the scenario selection, simulation of the selected scenario using a radar sensor in an emulator, which feeds the sensor data into the simulation, and the identification of critical conditions (i.e.,Read more

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

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

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