Abstract: A method for operating a surroundings sensing device for a motor vehicle includes sensing the surroundings by at least one first surroundings sensor of the surroundings sensing device and by at least one second surroundings sensor of the surroundings sensing device; transmitting the surroundings sensed by the first surroundings sensor and the surroundings sensed by the second surroundings sensor to an electronic computing unit of the surroundings sensing device; performing grid-based evaluation of the surroundings for a first distance range of the surroundings by means of the electronic computing unit; performing fusion of the surroundings for a second distance range, which is different from the first distance range, by the electronic computing unit; and evaluating the surroundings depending on the grid-based evaluation and the fusion.

Abstract: The invention relates to a method for detecting an object in a spatial region. The method comprises the following steps for each cell of a plurality of cells of the spatial region: determining evidence masses for the hypotheses that a cell is occupied, is not occupied, or may not be occupied at a current point in time on the basis of sensor data relating to the spatial region; determining predicted evidence masses for the hypotheses at the current point in time on the basis of actual evidence masses for a hypothesis at a previous point in time and on the basis of a plurality of particles for a corresponding plurality of movement hypotheses for the cell; and determining the actual evidence masses at the actual point in time by combining the measured evidence masses with the predicted evidence masses at the current point in time.

Abstract: A method (700) for determining the value of a size of an object (150) is described. The method (710) comprises determining (711) an occupancy grid (200) indicating evidence that individual cells (201) are vacant or occupied by the object (150). Further, the method (710) comprises determining (712) a subset of cells (201) associated with the object (150). Further, the method (710) comprises detecting (713) two opposing bounding edges of the object (150), and determining (714) a measurement value of the size of the object (150) based on the distance between the detected edges of the object (150). The method (710) further comprises determining (715) a quality measure indicating how well the two opposing edges of the object (150) could be detected, and determining (716) a measurement probability distribution of the size of the object (150) dependent on the quality measure.

Abstract: A controller for a vehicle is configured to determine image data from a camera of the vehicle which indicates an environment of the vehicle starting from a reference point. The controller further detects at least one camera object in the environment of the vehicle based on the image data. The controller is also configured to determine sensor data from a distance-sensing environment sensor of the vehicle. The camera object can be shifted to a plurality of different distances from the reference point. A corresponding plurality of values of a degree of overlap between the camera object and the sensor data can be determined for the plurality of different distances. The controller is also configured to determine an object distance between the camera object and the reference point based on the plurality of values of the degree of overlap.

Abstract: The invention relates to a method for detecting an object in a spatial region. The method comprises the following steps for each cell of a plurality of cells of the spatial region: determining evidence masses for the hypotheses that a cell is occupied, is not occupied, or may not be occupied at a current point in time on the basis of sensor data relating to the spatial region; determining predicted evidence masses for the hypotheses at the current point in time on the basis of actual evidence masses for a hypothesis at a previous point in time and on the basis of a plurality of particles for a corresponding plurality of movement hypotheses for the cell; and determining the actual evidence masses at the actual point in time by combining the measured evidence masses with the predicted evidence masses at the current point in time.

Abstract: A method for detecting and/or tracking an object in surroundings of a vehicle is described. The method ascertains, at a first time, on the basis of sensor data from one or more ambient sensors of the vehicle, measurement data for a multiplicity of cells of a grid of the surroundings of the vehicle, the measurement data for a first cell indicating an object probability. Moreover, the method ascertains an occupancy probability of the first cell being occupied by an object that was already detected at a preceding time. The method further assigns the first cell to the object in dependence on the object probability and in dependence on the occupancy probability.

Abstract: A method for detecting and/or tracking an object in surroundings of a vehicle is described. The method ascertains, at a first time, on the basis of sensor data from one or more ambient sensors of the vehicle, measurement data for a multiplicity of cells of a grid of the surroundings of the vehicle, the measurement data for a first cell indicating an object probability. Moreover, the method ascertains an occupancy probability of the first cell being occupied by an object that was already detected at a preceding time. The method further assigns the first cell to the object in dependence on the object probability and in dependence on the occupancy probability.