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Title:
自律走行状況で障害物検出のための学習用データセットの生成方法及びこれを利用したコンピューティング装置、学習方法及び学習装置
Document Type and Number:
Japanese Patent JP6793411
Kind Code:
B2
Abstract:
A method for generating at least one data set for learning to be used for detecting at least one obstruction in autonomous driving circumstances is provided. The method includes steps of: a computing device (a) obtaining a first original image indicating a driving situation, and a first segmentation ground truth (GT) image corresponding to the first original image; (b) obtaining a second original image including a specific object, and a second segmentation GT image which includes segmentation information for the specific object and corresponds to the second original image; (c) obtaining a third original image by cutting a portion corresponding to the specific object, and a third segmentation GT image by cutting pixels corresponding to an area where the specific object is located; and (d) creating the data set for learning which includes a fourth original image and a fourth segmentation GT image corresponding to the fourth original image.

Inventors:
Kim gehyun
KIM, Yong Jun
Kim ins
Kim Ha Kyung
Nam Eun Hyun
Buseokfun
Sung Myung Chul
Yo Dong Hoon
Ryuju
Jang Tae Eun
John Kyung Jun
Jae Hongmo
Joho Jin
Application Number:
JP2019160648A
Publication Date:
December 02, 2020
Filing Date:
September 03, 2019
Export Citation:
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Assignee:
Stradvision,Inc.
International Classes:
G06T7/00; G06T7/11; G06T11/80; G06V10/764
Domestic Patent References:
JP2018060511A
JP5303645A
Attorney, Agent or Firm:
Iseki Katsumori
Shuhei Kaneko