Abstract: A computer implemented method for determining a direction of arrival of a radar detection comprises the following steps carried out by computer hardware components: acquiring a complex-valued beamvector of the radar detection; processing the complex-valued beamvector by a machine learning module in the complex domain; and obtaining the direction of arrival as an output of the machine learning module.

Abstract: Data collection in a vehicle is used for purposes of creating training data for artificial intelligence or machine learning algorithms for use in vehicles. The collected data is transmitted from the vehicle to a data warehouse by way of a remote system. A method comprises a step of collecting sensor data from one or more vehicle sensor units. The collected sensor is evaluated based on a set of criteria. Subsequently, one or more data logs are created based on the collected sensor data. In a further step, the one or more data logs are pushed to a remote system via a data connection.

Abstract: A computer implemented method for determining a direction of arrival of a radar detection comprises the following steps carried out by computer hardware components: acquiring a complex-valued beamvector of the radar detection; processing the complex-valued beamvector by a machine learning module in the complex domain; and obtaining the direction of arrival as an output of the machine learning module.

Abstract: A method for determining values influencing movement of a robot is disclosed. The method includes the following steps: a) provision of a task to be performed by the robot and a worker; b) provision of a layout of a workstation; c) provision of tool data; d) determination of respective axial movement patterns of the robot on the basis of steps a) to c); e) provision of a worker workspace; f) determination of critical path points of the robot, where a specified movement speed is exceeded by the robot and/or a specified mass of an element to be moved by the robot is exceeded, on the basis of the axial movement patterns and the workspace; g) simulation of respective collisions at the critical path points by a second robot; and h) determination of permissible operating speeds of the robot for each critical path point on the basis of the simulated collisions.

Abstract: A method for determining values influencing movement of a robot is disclosed. The method includes the following steps: a) provision of a task to be performed by the robot and a worker; b) provision of a layout of a workstation; c) provision of tool data; d) determination of respective axial movement patterns of the robot on the basis of steps a) to c); e) provision of a worker workspace; f) determination of critical path points of the robot, where a specified movement speed is exceeded by the robot and/or a specified mass of an element to be moved by the robot is exceeded, on the basis of the axial movement patterns and the workspace; g) simulation of respective collisions at the critical path points by a second robot; and h) determination of permissible operating speeds of the robot for each critical path point on the basis of the simulated collisions.