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Case Study: AI-Assisted Test Case Generation for Vehicle API Validation and Automation

This presentation focuses on using AI to generate test cases, test data, and automated test suites for validating vehicle-related APIs. It addresses the integration of AI-generated tests into CI/CD pipelines and explores methods for validating AI-driven outputs. The session also discusses the maintenance of AI-generated test assets throughout the software lifecycle. Attendees will gain practicalRead more

Case Study: Leveraging Vision-Language Models for Operational Design Domain Data Extraction in Autonomous Driving

This session explores the use of vision-language models (VLMs) to extract data relevant to operational design domains (ODDs) for urban automated driving. It covers insights on VLM performance against diverse ODD requirements, highlights the value of large-scale camera data from vehicle fleets, and introduces new datasets scheduled for release in 2025. Attendees will gain aRead more

Keynote: Generative AI in Autonomous Vehicles – Bridging Language and the Physical World

As generative AI expands beyond text, its applications in autonomous vehicles are redefining how machines interact with the physical world. This session explores the use of generative models in handling 3D models, sensor streams, and domain-specific data within the context of autonomous systems. Attendees will gain insights into the adaptation of generative AI for non-languageRead more

Case Study: Safety implications of human machine interactions in automated driving for buses and trucks

As SAE Level 3 and 4 automation becomes increasingly viable for commercial vehicles, the design of HMI in long-haul trucks and urban buses presents new and complex challenges. These large vehicles operate under fatigue-prone conditions, with dynamic environments and unique cabin ergonomics, demanding careful consideration of how drivers and automation interact. This presentation explores theRead more

Case Study: Data-driven ADAS development for AI in autonomous vehicles

This presentation explores how data fuels the development of AI-powered ADAS in autonomous vehicles. It addresses key challenges in data privacy, secure sharing, and maintaining data quality across the AI lifecycle. We’ll also examine how closed-loop testing and monitoring ensure system reliability and safety in real-world conditions. In this session, you will learn more about:Read more

Keynote: ODD monitoring and uncertainty management in autonomous vehicle deployment

Autonomous vehicles must operate within clearly defined ODDs, but real-world uncertainties like rain, fog, and low visibility challenge the boundaries of these domains. This presentation explores how AV systems detect when they are leaving their intended ODD, how we assess the risk of false negatives, and how we can verify system behavior under uncertain conditions.Read 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

Case Study: Integrating TSN and fail silent domain controllers into zonal E/E topologies for ASIL D autonomous vehicles

As autonomous vehicles demand higher performance and safety, traditional E/E architectures are giving way to zonal designs. This presentation explores how TSN and fail-silent domain controllers can be architected to meet ASIL-D requirements for timing, fault isolation, and availability. It presents a reference architecture leveraging TSN standards (e.g., 802.1Qbv, Qci) and lock-step computing with safetyRead 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

Case Study: Enhancing safety and user trust in autonomous vehicles through generative and responsible AI

Generative AI is introducing powerful new capabilities into the automotive domain – from natural language interaction and personalized cabin experiences to dynamic simulation and predictive decision-making. However, as these systems become more integrated into safety-critical environments, the need for ethical and responsible AI practices becomes paramount. This presentation explores how generative AI can enhance bothRead more