STRUCTURAL OBJECT DETECTOR FOR HIERARCHICAL ONTOLOGY FOR TRAFFIC LIGHT HANDLING
Systems and methods are provided for developing/leveraging a hierarchical ontology in traffic light perception. A hierarchical ontology representative of various traffic light characteristic (e.g., states, transitions, colors, shapes, etc.) allow for structured and/or automated annotation (in superv...
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Main Authors | , , |
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Format | Patent |
Language | English |
Published |
11.11.2021
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Subjects | |
Online Access | Get full text |
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Summary: | Systems and methods are provided for developing/leveraging a hierarchical ontology in traffic light perception. A hierarchical ontology representative of various traffic light characteristic (e.g., states, transitions, colors, shapes, etc.) allow for structured and/or automated annotation (in supervised machine learning), as well as the ability to bootstrap traffic light prediction. Further still, the use of a hierarchical ontology provides the ability to accommodate both coarse and fine-grained model prediction, as well as the ability to generate models that are applicable to different traffic light systems used, e.g., in different geographical regions and/or contexts. |
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Bibliography: | Application Number: US202016872095 |