Abstract: A computer-implemented method is provided for determining a navigation route between a start point and a target point. The method includes setting the start and target points, and then generating a road map with a road graph having plural edges between the star and target points representing traversable route portions. The generated road map also has nodes that interconnect the adjacent edges. The road map is generated from geospatial data retrievably stored in a database. The method proceeds by generating an emotion map layer by a machine learning model that is trained to predict, based on static and/or dynamic contextual input data for each of the edges, the likely emotions of a driver as they traverse the relevant edge and generate emotion weightings in the emotion map layer. The method then calculates the navigation route by the emotion map layer with the emotion weightings obtained in the previous step.

Abstract: A computer-implemented method for determining an emotional state of a person in a motor vehicle. The method includes the following steps: recording (S1) environmental data using environmental sensors of the motor vehicle, the environmental data relating to an environment of the motor vehicle; recognizing (S2) various objects using the environmental data; assigning (S3) the objects to various classes; determining (S4), respectively, a number of the objects assigned to the respective classes; and determining (S5) the emotional state using the numbers and the classes.