Level2Fahrunterstützung

Level2Fahrunte (often abbreviated as L2F) is a theoretical framework used in discussions of semi-automated mobility systems. It represents a distinct layer in a multi-level model of vehicle autonomy that sits between Level 2 automation and higher-level planning, focusing on the interface where driving tasks are shared between humans and automation.

The term combines the German root Fahr, meaning drive, with unter, implying a subsystem that supports driving under shared control. It was proposed in speculative literature to address the gap between sensor-level perception and strategic route planning at Level 2, by formalizing how real-time control decisions are made under mixed oversight.

Core concepts of Level2Fahrunte include real-time perception integration, constraint-aware decision making, and an explicit driver-override interface. The framework emphasizes safety margins, collision-avoidance strategies, and explainable risk scoring to assist human drivers while preserving ultimate control in critical situations. It also advocates for clear delineation of responsibilities between the automation system and the human operator during dynamic driving tasks.

Applications are primarily found in simulations, policy analysis, and urban-planning studies rather than on-road deployments. Proponents argue that Level2Fahrunte clarifies responsibilities between humans and automation and provides a testbed for assessing risk under mixed-traffic conditions, enabling more robust scenario evaluation and governance considerations.

Critiques note that the framework relies on idealized data and may not map directly onto current vehicle architectures. Some observers caution against over-segmentation of autonomy levels, warning that practical challenges in human–machine collaboration may be obscured by a tightly defined layer model.