Toyota Research Institute, Inc.

Sarah Yoo

Sudeep Pillai

Kun-Hsin Chen

Ryan W Wolcott

Shunsho Kaku

Hai Jin

Peiyan Gong

David L Garber

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.

Traffic light active learning pipeline

Growing community of inventors

Mountain View, CA, United States of America

Sarah Yoo