Computer-implemented method for reducing false positives in a computer vision task and application thereof to motor vehicle exterior monitoring

Abstract

A method and system for improving real-time false positive reduction, in which first and second sensor data of a potential object in a common portion of an environment of a motor vehicle are compared. Upon determining that there is a discrepancy in the first and second sensor data in relation to the object, an analysis by synthesis is performed on the first sensor data. If the analysis results in a match, then the first sensor data are validated and can be used for generating a control signal for an autonomous vehicle. If the analysis results in a mismatch, the first sensor data are excluded from generating the control signal. In case of no discrepancy between the first and second sensor data, both are used in generating the control signal.