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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Bibliographic Details
Main Authors CHEN, KUN-HSIN, LI, JIE, PARK, DENNIS I
Format Patent
LanguageEnglish
Published 11.11.2021
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
HANDLING RECORD CARRIERS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
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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.
Bibliography:Application Number: US202016872095