Building on results from i4Driving and BERTHA, HARMO treats familiarity as a dynamic latent variable. We generate a "Habituation Dataset" to calibrate HBMs, which are then integrated into a hybrid AI planning stack. This stack is validated using EU-CEM compliant scenarios, replacing static background traffic with "smart" agents. Finally, the system is benchmarked in real-world logistics and shuttle pilots, comparing HARMO’s behavioural predictions against live human traffic without altering vehicle control. By translating scientific models into "Safety Evidence Packs" for type approval, HARMO enables the design of "safe, human-like behaviour" that is predictable to other road users, supporting the trustworthy deployment of CCAM in Europe.
FZI leads T2.3 on improving diffusion-based planning and is specifically responsible for the guidance functionality that shapes the planner’s behavioural characteristics. The planner is intended to generate more diverse and human-like trajectories, with configurable characteristics such as a sportier or more comfortable driving style and adjustable safety margins. SAFEAD is responsible for improving the planner itself. FZI also contributes to T2.5, working with SAFEAD and IRU on planner adjustments for reinforcement learning, where symbolic evaluations help align generated trajectories with normative criteria. FZI is responsible for deliverable D2.3 on diffusion-planner enhancements.
Beyond technical development, FZI leads T7.2, “Scientific and Technical Management,” throughout the project. Its responsibilities include coordinating overall strategies and schedules, monitoring work-package progress, and tracking whether deliverables are produced on time and to the expected quality. Together with the project coordination team, FZI updates the project risk matrix and supports a shared understanding of HARMO’s objectives. FZI also contributes to disseminating the project’s scientific and technical results and to their further use in research and development.
AI from research to practice: We promote applied AI for business and small and medium-sized enterprises, integrating technology with law and ethics.
Autonomous shuttles, intelligent logistics, and software-defined vehicles: We use IT to create the connected, safe, and sustainable mobility and logistics solutions of tomorrow.
