Invention Grant
- Patent Title: Method and device for providing personalized and calibrated adaptive deep learning model for the user of an autonomous vehicle
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Application No.: US16738320Application Date: 2020-01-09
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Publication No.: US10824151B2Publication Date: 2020-11-03
- Inventor: Kye-Hyeon Kim , Yongjoong Kim , Hak-Kyoung Kim , Woonhyun Nam , Sukhoon Boo , Myungchul Sung , Dongsoo Shin , Donghun Yeo , Wooju Ryu , Myeong-Chun Lee , Hyungsoo Lee , Taewoong Jang , Kyungjoong Jeong , Hongmo Je , Hojin Cho
- Applicant: StradVision, Inc.
- Applicant Address: KR Gyeongsangbuk-do
- Assignee: StradVision, Inc.
- Current Assignee: StradVision, Inc.
- Current Assignee Address: KR Gyeongsangbuk-do
- Agency: Husch Blackwell LLP
- Main IPC: G05D1/00
- IPC: G05D1/00 ; B60W60/00 ; B60W50/00 ; G06K9/62 ; G06N20/00

Abstract:
A method for providing a dynamic adaptive deep learning model other than a fixed deep learning model, to thereby support at least one specific autonomous vehicle to perform a proper autonomous driving according to surrounding circumstances is provided. And the method includes steps of: (a) a managing device which interworks with autonomous vehicles instructing a fine-tuning system to acquire a specific deep learning model to be updated; (b) the managing device inputting video data and its corresponding labeled data to the fine-tuning system as training data, to thereby update the specific deep learning model; and (c) the managing device instructing an automatic updating system to transmit the updated specific deep learning model to the specific autonomous vehicle, to thereby support the specific autonomous vehicle to perform the autonomous driving by using the updated specific deep learning model other than a legacy deep learning model.
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