An automated driving system includes an object detection system. A neural network image encoder generates image embeddings associated with an image including an object. A neural network text encoder generates concept embeddings associated with each of a plurality of concepts. Each of the plurality of concepts is associated with one of at least two object classes. A confidence score module generates a confidence score for each of the plurality of concepts based on the image embeddings and the concept embeddings associated with the concept. An object class prediction module generates a predicted object class of the object based on an association between a set of concepts of the plurality of concepts having at least two of the highest values of the generated confidence scores and the one of the at least two object classes associated with a majority of the set of concepts.
Systems and methods for classifying detected objects in an image at an automated driving system
2024-04-09
Patent
Electronic Resource
English
SYSTEMS AND METHODS FOR CLASSIFYING DETECTED OBJECTS IN AN IMAGE AT AN AUTOMATED DRIVING SYSTEM
European Patent Office | 2023
|British Library Online Contents | 2009
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