Method and device for detecting a decalibration of a sensor for capturing the surroundings of a vehicle
A method for detecting a decalibration of a surroundings sensor involves using the surroundings sensor to detect a number of objects in the surroundings. Angular velocities of the detected objects are determined while the vehicle is travelling. Clusters of a number of the objects are determined by a histogram evaluation based on the angular velocities. A decalibration of the surroundings sensor is identified if a cluster is found beyond an angular velocity of zero, which is caused by a deviation of the orientation of the surroundings sensor from a normal position relative to a vehicle axis of the vehicle.
1. A method for detecting a decalibration of at least one surroundings sensor for capturing surroundings of a vehicle, the method comprising:
detecting, by the at least one surroundings sensor, a plurality of objects in the surroundings;
determining angular velocities of the detected objects while the vehicle is travelling;
determining clusters of a number of the detected objects by a histogram evaluation based on the determined angular velocities; and
identifying a decalibration of the surroundings sensor responsive to one of the determined clusters has an angular velocity other than zero, wherein the decalibration is caused by a deviation of an orientation of the surroundings sensor from a normal position relative to a vehicle axis of the vehicle.
2. The method of claim 1 , wherein one or more of a yaw angle velocity, a pitch angle velocity, and a roll angle velocity are determined as angular velocity and are used as the basis for the histogram evaluation.
3. The method of claim 1 , wherein the angular velocities of the detected objects are determined by comparing movement data of the vehicle with data captured by the surroundings sensor or derived from data captured by the surroundings sensor.
4. The method of claim 1 , wherein the surroundings sensor is a lidar sensor, a radar sensor, a camera, or an ultrasound sensor.
5. The method of claim 4 , wherein the movement data of the vehicle is one or more of a steering angle, a yaw angle, a roll angle, a pitch angle, a yaw acceleration, a roll acceleration, a pitch acceleration, suspension travel signals, wheel speed pulses, positioning data, and redundant surroundings sensor.
6. The method of claim 5 , wherein a lidar sensor, a radar sensor, a camera, or an ultrasound sensor is used as a redundant surroundings sensor.
7. A device for detecting a decalibration of at least one surroundings sensor for capturing the surroundings of a vehicle, the device comprising:
a data processing unit is connected to the at least one surroundings sensor, wherein the data processing unit is configured to
detect a plurality of objects in the surroundings;
determine angular velocities of the detected objects while the vehicle is travelling;
determine clusters of a number of the detected objects by a histogram evaluation based on the determined angular velocities; and
identify a decalibration of the surroundings sensor responsive to one of the determined clusters has an angular velocity other than zero, wherein the decalibration is caused by a deviation of an orientation of the surroundings sensor from a normal position relative to a vehicle axis of the vehicle.
8. A vehicle, comprising:
the device of claim 7 and at least one surroundings sensor for capturing the surroundings of the vehicle.
9. The vehicle of claim 8 , wherein the surroundings sensor is a lidar sensor, a radar sensor, a camera, or an ultrasound sensor.
10. The vehicle of claim 9 , wherein the vehicle includes one or more sensors configured to capture one or more of the following items of data for capturing the movement data of the vehicle:
a steering angle, a yaw angle, a roll angle, a pitch angle, a yaw acceleration, a roll acceleration, a pitch acceleration, suspension travel signals, wheel speed pulses, positioning data, and redundant surroundings sensors.