Abstract: In a method for a collision-free movement of a crane in a crane lane, a sensor captures a first training data set of raw data during a movement of the crane outside a crane operation in the crane lane. The first training data set is evaluated while teaching a first neural network based on the captured raw data and first training data are determined from the evaluated first training data set. The sensor captures current sensor data during a movement of the crane during the crane operation in the crane lane. The current sensor data is compared with the first training data, and an anomaly is detected between the current sensor data and the first training data.

Abstract: An automation system for controlling a loading system and operating method for the loading system which loads or moves a load along a route, wherein a collision between the load and objects in the environment during the loading process is avoided, where a digital load image file describing a spatial overall extent of the load is provided, an environment image file is recorded cyclically via an imaging sensor system, a protective distance is added to data of the load image file to provide a collision model image file, a cutout file is provided as a virtually recorded image file with a viewing angle from the load as a function of the route, a differential image file is provided from the collision model image file and the cutout file via differentiation, and an evaluation step is performed via which the differential image file is examined for a possible collision.