Abstract: A computer-implemented method for interpolation comprises the following steps carried out by computer hardware components: determining an image-like input data structure, the image-like input data structure comprising a plurality of data points; determining a plurality of reference data points as a subset of the plurality of data points of the image-like input data structure; determining an image-like temporary data structure based on the image-like input data structure and a pre-determined processing operation; replacing data points of the image-like temporary data structure corresponding to the plurality of reference data points by the plurality of reference data points to obtain an image-like updated temporary data structure; and determining an image-like output data structure based on the image-like updated temporary data structure.

Abstract: A computer implemented method for determining an entry of an occupancy map of a vicinity of a vehicle comprises the following steps carried out by computer hardware components: acquiring first sensor data of a first sensor of the vicinity of the vehicle; acquiring second sensor data of a second sensor of the vicinity of the vehicle; determining a first sensor data portion of the first sensor data which corresponds to a potential object in the vicinity of the vehicle; based on the first sensor data portion, determining a second sensor data portion of the second sensor data which corresponds to a location of the potential object; and determining an entry of the occupancy map based on the first sensor data portion and the second sensor data portion.

Abstract: A computer-implemented method for interpolation comprises the following steps carried out by computer hardware components: determining an image-like input data structure, the image-like input data structure comprising a plurality of data points; determining a plurality of reference data points as a subset of the plurality of data points of the image-like input data structure; determining an image-like temporary data structure based on the image-like input data structure and a pre-determined processing operation; replacing data points of the image-like temporary data structure corresponding to the plurality of reference data points by the plurality of reference data points to obtain an image-like updated temporary data structure; and determining an image-like output data structure based on the image-like updated temporary data structure.

Abstract: A computer implemented method for determining an output of a convolutional block of an artificial neural network based on input data comprises the following steps carried out by computer hardware components: performing an iteration with a plurality of iterations; wherein in each iteration, a convolution operation is performed; wherein in a first iteration, an input to the convolution operation is based on the input data; wherein in subsequent iterations, an input to the convolution operation at a present iteration is based on an output of the convolution operation at a preceding iteration; and determining the output of the convolutional block based on output of the convolutional operation of at least one iteration of the plurality of iterations.

Abstract: A computer implemented method for determining an entry of an occupancy map of a vicinity of a vehicle comprises the following steps carried out by computer hardware components: acquiring first sensor data of a first sensor of the vicinity of the vehicle; acquiring second sensor data of a second sensor of the vicinity of the vehicle; determining a first sensor data portion of the first sensor data which corresponds to a potential object in the vicinity of the vehicle; based on the first sensor data portion, determining a second sensor data portion of the second sensor data which corresponds to a location of the potential object; and determining an entry of the occupancy map based on the first sensor data portion and the second sensor data portion.