Abstract: A trained vision foundation model and a training data set used for training of the machine learning model are provided. For each training image of the training data set, a training data feature vector is determined using the vision foundation model. A distribution of the training data feature vectors is determined, An image depicting a scene is received. An image feature vector is determined for the image using the vision foundation model. A log likelihood is computed for the image feature vector to the distribution of the training data feature vectors. An alert is produced if the image differs from the distribution of the training data feature vectors based on an analysis of the log likelihood.

Abstract: The present disclosure relates to a method and system for monitoring the road condition by a machine learning system and to a method for training the machine learning system. The methods include: providing or acquiring data by a sensor system of a vehicle, wherein the sensor system captures the surroundings of the vehicle (2) as training input data X; providing or acquiring data which characterize the road condition by means of a reference sensor fitted in or on the vehicle as training target values, and training the machine learning system. Training data, which include training input data X and training target values corresponding to these training input data X, are provided. The training data are used to adjust parameters of the machine learning system in such a manner that the machine learning system generates output data similar to the training target values when the training input data are input.

Abstract: A method of recognizing gestures of a person from at least one image from a monocular camera, e.g. a vehicle camera, includes comp the steps: a) detecting key points of the person in the at least one image, b) connecting the key points to form a skeleton-like representation of body parts of the person, wherein the skeleton-like representation represents a relative position and a relative orientation of the respective body parts of the person, c) recognizing a gesture of the person from the skeleton-like representation of the person, and d) outputting a signal indicating the gesture.

Abstract: The invention relates to a method and a device for recognizing gestures by means of a monocular camera and can be used in particular in vehicle cameras of a partly autonomously driven vehicle. The method for recognizing gestures of a person from at least one image from a monocular camera comprises the steps: a) detecting key points of a person in the at least one image from the monocular camera, b) connecting key points to a skeleton-like representation of parts of the person, wherein the skeleton-like representation reflects the relative position and orientation of individual body parts of the person, c) recognizing a gesture from the skeleton-like representation of the person, and d) outputting the gesture recognized.