Method and device for determining a calibration fault in a vision system on board a vehicle

Abstract

Method or device for determining a calibration fault of a vision system embedded in a vehicle, the method comprising receiving (31) a first error of a depth prediction model associated with the vision system determined by a loss function during a phase of learning the depth prediction model, receiving (33) image data representative of a set of images acquired by the vision system and determining (34) a second error by applying the loss function to the image data. A conformity indicator is determined (35) as a function of a result of a comparison of the second error with a threshold error determined as a function of the first error and a non-conformity rate is updated (36) as a function of the conformity indicator. The calibration fault of the vision system is then determined (37) as a function of the non-conformity rate. Figure for abstract: Figure 3

Claims

5. Method according to one of claims 1 to 4, for which the vision system is a stereoscopic vision system comprising at least two cameras.

6. Method according to one of claims 1 to 4, for which the vision system is a monoscopic vision system comprising a single camera.

7. Method according to one of claims 1 to 6, for which a camera of the vision system is a wide-angle camera.

8. Computer program comprising instructions for implementing the method according to any one of the preceding claims, when these instructions are executed by a processor.

9. Device (4) for detecting a calibration fault in a vision system on board a vehicle (10, 20), said device (4) comprising a memory (41) associated with at least one processor (40) configured for implementing the steps of the method according to any one of claims 1 to 7.

10. Vehicle (10, 20) comprising the device (4) according to claim 9. [Fig. 1] [Fig. 2] [Fig. 3]

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