Advancing Automated Driving in Highly Interactive Scenarios through Behavior Prediction, Trustworthy AI, and Remote Operations

Kurzfassung

Automated driving is being developed and deployed in complex road traffic environments with dense interactions. Ensuring safe and comfortable operation requires adaptable solutions - from reliance solely on onboard sensors and computing to integration with intelligent infrastructure, connectivity, and remote operation. As vehicles become increasingly intelligent, maintaining their efficiency and safety throughout their operational lifetime is essential for preventing accidents and fostering public trust. This workshop explores three critical topics: 1. Multi-road user interactions and behavior prediction/planning 2. AI trustworthiness and CCAM user perception 3. Remote operation of intelligent connected and automated vehicles This full-day workshop includes three sessions focused on these topics, complemented by two interactive poster sessions. Each session will open with a keynote speaker, followed by workshop paper presentations. The workshop then concludes with a round table discussion featuring experts from diverse backgrounds, ensuring comprehensive coverage of all main topics. Firstly, technological and human factor challenges on remote operation covering three aspects - monitoring, assistance, and driving - will be discussed. Then the discussion will be focused on aligning AI-based systems' trustworthiness across technical, ethical, and social dimensions. It will explore how to develop CCAM systems that are not only technically robust and reliable but also perceived as trustworthy by users. This includes addressing challenges in human-machine interaction, transparency, and ethical considerations. The last session presents work examining the balance between safety and efficient behavior in automated vehicles, discussing approaches to predict and plan comfortable trajectories that meet human expectations while maintaining safety. The workshop will focus on multi-modal approaches and their evaluation, considering the diversity of valid solutions of a traffic situation and facing unknown intentions of others. By combining these topics, the workshop provides a comprehensive view of automated driving challenges, emphasising the crucial roles of remote operation supported by humans, and AI in developing trustworthy, efficient, and safe automated mobility solutions.