SELF-CALIBRATING CAMERA SYSTEM, VEHICLE AND METHOD
The disclosure relates to a camera system for a vehicle, comprising at least one computing unit, wherein the camera system is configured to generate a local geometric model of at least one mobile camera unit of the vehicle. The disclosure provides that the camera system is configured to merge a specified global geometric a-priori model of the vehicle with the local geometric model of the vehicle of the at least one mobile camera unit and at least one further local geometric model of the vehicle to form a global model of the vehicle, and to determine a location of the at least one mobile camera unit in the global model of the vehicle.
1 . A camera system for a vehicle, the camera system comprising:
at least one computing unit having a processor; and
at least one mobile camera unit,
wherein the at least one mobile camera unit is configured for arrangement on a respective dropside of the vehicle and for capturing a respective camera field of view (Vl,Vr,Vh),
wherein the camera system is configured to capture geometric parameters of the respective dropside in the camera field of view of the camera unit, to capture an orientation of the at least one mobile camera unit in a specified vehicle coordinate system, to generate a local geometric model of the vehicle of the at least one mobile camera unit depending on the geometric parameters of the respective dropside and the orientation of the at least one mobile camera unit in the specified vehicle coordinate system,
wherein a specified global geometric a-priori model of the vehicle is stored in the camera system, which comprises assumptions with respect to the geometric parameters of the vehicle,
and wherein the camera system is configured to merge the specified global geometric a-priori model of the vehicle with the local geometric model of the vehicle of the at least one mobile camera unit and at least one further local geometric model of the vehicle to form a global model of the vehicle, and to determine a location of the at least one mobile camera unit in the global model of the vehicle.
2 . The camera system as claimed in claim 1 , wherein the camera system is configured to check the plausibility of respective captured data of at least one of the at least two camera units and geometric parameters of the at least two camera units
3 . The camera system as claimed in claim 1 , wherein the camera system is configured to capture the geometric parameters of the respective dropside in the camera field of view of the camera unit according to a static detection method.
4 . The camera system as claimed in one claim 1 , wherein the camera system is configured to capture the geometric parameters of the respective dropside in the camera field of view of the camera unit according to a dynamic detection method, wherein the dynamic detection method comprises capture of an optical flow progression.
5 . The camera system as claimed in claim 4 , wherein the camera system is configured to determine an alignment of the at least one camera unit in the global model depending on the flow progression.
6 . The camera system as claimed in claim 1 , wherein the at least one camera unit comprises an acceleration sensor which is configured to determine a gravitational direction with respect to the at least one camera unit and the camera system is configured to determine a location of the global camera system with respect to an environment from the at least one gravitational direction.
7 . The camera system as claimed in claim 1 , wherein the camera system is configured to determine the orientation of the at least one camera unit depending on an order of arrangement.
8 . The camera system as claimed in claim 1 , wherein the camera system has at least one camera unit that is permanently arranged on the vehicle.
9 . The camera system as claimed in claim 1 , wherein the camera system is configured to capture an arrangement of the at least one camera unit by capturing a predetermined movement by the acceleration sensor of the at least one camera unit.
10 . The camera system as claimed in one of the preceding claims claim 1 , wherein the camera system is configured to merge camera images of the camera fields of view of the respective camera units according to a predetermined merging method.
11 . A vehicle, the vehicle comprising:
a camera system comprising:
at least one computing unit having a processor; and
at least one mobile camera unit,
wherein the at least one mobile camera unit is configured for arrangement on a respective dropside of the vehicle and for capturing a respective camera field of view,
wherein the camera system is configured to capture geometric parameters of the respective dropside in the camera field of view of the camera unit, to capture an orientation of the at least one mobile camera unit in a specified vehicle coordinate system, to generate a local geometric model of the vehicle of the at least one mobile camera unit depending on the geometric parameters of the respective dropside and the orientation of the at least one mobile camera unit in the specified vehicle coordinate system,
wherein a specified global geometric a-priori model of the vehicle is stored in the camera system, which comprises assumptions with respect to the geometric parameters of the vehicle, and
wherein the camera system is configured to merge the specified global geometric a-priori model of the vehicle with the local geometric model of the vehicle of the at least one mobile camera unit and at least one further local geometric model of the vehicle to form a global model of the vehicle, and to determine a location of the at least one mobile camera unit in the global model of the vehicle.
12 . A method for operating a camera system for a vehicle, wherein the camera system comprises at least one computing unit having a processor and at least one mobile camera unit wherein the at least one mobile camera unit is configured for arrangement on a respective dropside of the vehicle and for capturing a respective camera field of view comprising:
detecting geometric parameters of the respective dropside in the camera field of view of the camera unit by the camera system;
detecting an orientation of the at least one mobile camera unit in a specified vehicle coordinate system by the camera system;
generating a local geometric model of the vehicle of the at least one mobile camera unit depending on the geometric parameters of the respective dropside and the orientation of the at least one mobile camera unit;
merging a specified global geometric a-priori model of the vehicle which comprises assumptions with respect to the geometric parameters of the vehicle with the local geometric model of the vehicle of the at least one mobile camera unit and at least one further local geometric model of the vehicle to form a global model of the vehicle by the camera system; and
determining a location of the at least one mobile camera unit in the global model of the vehicle by the camera system.