A method includes obtaining an image representing road objects belonging to a particular class, and generating, based on the image, feature maps that represent visual features of the image. The method also includes determining, based on the feature maps and for each respective road object of the plurality of road objects, a corresponding location at which the respective road object has been detected within the image and a corresponding tag value associated with the respective road object. The method additionally includes determining groups of the road objects based on the tag value of each respective road object, and identifying, for each respective group, a corresponding road condition based on the corresponding locations of the road objects in the respective group and the particular class. The method further includes generating an output that represents the corresponding road condition of each respective group.
JOINT DETECTION AND GROUPING OF ROAD OBJECTS USING MACHINE LEARNING
GEMEINSAME ERKENNUNG UND GRUPPIERUNG VON STRASSENOBJEKTEN UNTER VERWENDUNG VON MASCHINENLERNEN
DÉTECTION ET GROUPEMENT CONJOINTS D'OBJETS ROUTIERS À L'AIDE D'UN APPRENTISSAGE AUTOMATIQUE
2023-12-27
Patent
Electronic Resource
English
Road Sign Detection and Recognition Using Perceptual Grouping
British Library Conference Proceedings | 1997
|Road sign detection and recognition using perceptual grouping
Automotive engineering | 1997
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