Method for evaluating sensor data, computing unit for evaluating sensor data and sensor system

1 . A method for evaluating sensor data, the method comprising the following steps:

inputting raw sensor data and/or processed sensor data from at least one sensor;

determining measurement data from the raw sensor data and/or the processed sensor data;

correcting the measurement data based on a mathematical model, wherein the measurement data is corrected either when a check of a change in a sensor alignment reveals that the sensor alignment has changed or when a check of an intensity of a sensor movement reveals that an intensity of the sensor movement exceeds a predetermined value, and wherein, on correction, drift of the raw sensor data and/or of the processed sensor data is determined and removed from the measurement data; and

outputting the corrected measurement data.

2 . The method as recited in claim 1 , wherein a speed of movement of the sensor is determined from the raw sensor data and/or the processed sensor data.

3 . The method as recited in claim 2 , wherein the speed of movement of the sensor is corrected on correction of the measurement data by a speed gradient being set to zero.

4 . The method as recited in claim 1 , wherein the raw sensor data and/or the processed sensor data are checked as to whether a temporally persistent acceleration of the movement of the sensor is present and the measurement data are corrected when no temporally persistent acceleration of the movement of the sensor is present.

5 . A method for evaluating sensor data, the method comprising the following steps:

inputting raw sensor data and/or processed sensor data from at least one sensor;

determining measurement data from the raw sensor data and/or the processed sensor data;

correcting the measurement data based on a mathematical model, wherein, on correction, drift of the raw sensor data and/or of the processed sensor data is determined and removed from the measurement data; and

outputting the corrected measurement data,

wherein a speed of movement of the sensor is determined from the raw sensor data and/or the processed sensor data,

wherein the speed of movement of the sensor is corrected on correction of the measurement data by a speed gradient being set to zero, and

wherein the speed gradient is calculated as a quotient of a first cross-correlation from the speed of movement of the sensor and a time, and a second cross-correlation of time with itself.

6 . The method as recited in claim 5 , wherein the mathematical model includes a probabilistic filter including a Kalman filter.

7 . The method as recited in claim 6 , wherein the first cross-correlation is a state of the probabilistic filter.

8 . A computing unit, comprising:

an input;

an output; and

a processor;

wherein the computing unit is configured to receive raw sensor data and/or processed sensor data via the input, the processor is configured to:

determine measurement data from the raw sensor data and/or the processed sensor data;

correct the measurement data based on a mathematical model, wherein the measurement data is corrected either when a check of a change in a sensor alignment reveals that the sensor alignment has changed or when a check of an intensity of a sensor movement reveals that an intensity of the sensor movement exceeds a predetermined value, and wherein, on correction, drift of the raw sensor data and/or of the processed sensor data is determined and removed from the measurement data; and

wherein the computing unit is configured to output the correct measurement data via the output.

9 . A sensor system, comprising:

a sensor configured to convert a physical measured variable into raw sensor data and/or processed sensor data; and

a computing unit, the sensor being configured to output the raw sensor data and/or the processed sensor data to an input of the computing unit, and the computing unit includes:

the input,

an output, and

a processor,

wherein the computing unit is configured to receive raw sensor data and/or processed sensor data via the input, the processor is configured to:

determine measurement data from the raw sensor data and/or the processed sensor data,

correct the measurement data based on a mathematical model, wherein the measurement data is corrected either when a check of a change in a sensor alignment reveals that the sensor alignment has changed or when a check of an intensity of a sensor movement reveals that an intensity of the sensor movement exceeds a predetermined value, and wherein, on correction, drift of the raw sensor data and/or of the processed sensor data is determined and removed from the measurement data, and

wherein the computing unit is configured to output the correct measurement data via the output.