TRAFFIC LIGHT ACTIVE LEARNING PIPELINE

Systems and methods are provided for developing/updating training datasets for traffic light detection/perception models. V2I-based information may indicate a particular traffic light state/state of transition. This information can be compared to a traffic light perception prediction. When the predi...

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Bibliographische Detailangaben
Hauptverfasser:	Kaku, Sunsho, Pillai, Sudeep, Wolcott, Ryan W, Chen, Kun-Hsin, Gong, Peiyan, Garber, David L, Jin, Hai, Yoo, Sarah
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY GYROSCOPIC INSTRUMENTS HANDLING RECORD CARRIERS MEASURING MEASURING DISTANCES, LEVELS OR BEARINGS NAVIGATION PHOTOGRAMMETRY OR VIDEOGRAMMETRY PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS SURVEYING TESTING WIRELESS COMMUNICATIONS NETWORKS
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Beschreibung
Zusammenfassung:	Systems and methods are provided for developing/updating training datasets for traffic light detection/perception models. V2I-based information may indicate a particular traffic light state/state of transition. This information can be compared to a traffic light perception prediction. When the prediction is inconsistent with the V2I-based information, data regarding the condition(s)/traffic light(s)/etc. can be saved and uploaded to a training database to update/refine the training dataset(s) maintained therein. In this way, an existing traffic light perception model can be updated/improved and/or a better traffic light perception model can be developed.