Blog

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

Visual perception in today’s ADAS focuses on two separate domains, i.e., surround sensing and driver monitoring. Their progress over the last decade has offered great promise in increasing safety on our roadways. We present a novel system that aims to understand the complete driving situation based on the visual perception of the surrounding traffic sceneRead more

This presentation explores a streamlined approach to translating AI systems from high-level Python models into optimized C implementations using customized hardware-in-the-loop simulation (HILS) for large language models (LLM). By leveraging high-level synthesis (HLS) and advanced verification methods, we demonstrate how this process enables faster design space exploration, improved performance, and reduced development cost. The methodologyRead more

ADAS systems in the past have been tightly bound to the underlying System-on-Chip. They have been extremely optimized towards a specific signal processing hardware and its dedicated accelerators. In this talk, the author explains the historic reasons for this and shows the advantages of such a solution. However, recent developments like the emergence of middlewareRead more

As vehicles become increasingly automated, ensuring safety through advanced, real-time data becomes critical. Tires, often overlooked, are a rich source of information on vehicle-road interaction. This presentation explores how tire intelligence—sensors, wear analysis, and pressure monitoring—can support safety systems in highly automated vehicles. We will examine how tire data contributes to traction control, braking performance,Read more

 As connected autonomous vehicles (CAVs) integrate into smart city infrastructures, ensuring functional safety becomes increasingly complex and critical. This presentation explores the interplay between LiDAR sensing, vehicle-to-everything (V2X) connectivity, and real-time data in supporting safety goals within highly automated driving systems. We examine safety assurance strategies aligned with ISO 26262 and SOTIF frameworks, particularly withinRead more

Autonomous vehicles generate vast amounts of sensor and perception data, challenging conventional data management and AI validation workflows. This presentation explores scalable strategies to handle high-throughput data pipelines while ensuring robust AI model validation across diverse environments and edge cases. We examine the role of advanced perception architectures and multimodal sensor fusion in improving objectRead more

Abstract: Safe autonomous driving depends not only on handling routine traffic scenarios but also on detecting and responding to rare and unexpected events. In this presentation it will be shown how advanced data management, perception systems, and AI models are being developed to handle road anomalies, unusual pedestrian behavior, and edge cases. It will examinedRead more

Despite rapid progress in academic research on AI, perception, and data management, the integration of these innovations into production-grade ADAS systems remains limited. This presentation examines how to bridge that gap by identifying technical, organizational, and validation-related disconnects between research and industry. It explores promising developments in vision and learning systems, highlights barriers to deployment,Read more

Write down the key topics or questions you want addressed during the event. At the end of each day, the event chair will review and discuss these inputs to ensure alignment with participant interests.Read more