Title:
VEHICLE CAMERA OCCLUSION CLASSIFICATION DEVICE USING DEEP LEARNING-BASED OBJECT DETECTOR AND METHOD THEREOF
Document Type and Number:
WIPO Patent Application WO/2023/120988
Kind Code:
A1
Abstract:
The present invention relates to a vehicle camera occlusion classification device using a deep learning-based object detector and a method thereof. The vehicle camera occlusion classification device using the deep learning-based object detector according to the present invention comprises: an input unit which receives a captured original image as input from a camera frame by frame; a first feature extraction unit which extracts features of the input frames by reducing the size of the frames and then inputting same to a convolution neural network (CNN); a second feature extraction unit which uses an object detection algorithm to extract features of objects included in the frames input from the input unit; a calculation unit which performs a calculation by mixing the features of the frames and the features of the objects and then inputting same to an artificial neural network (ANN); and a determination unit which determines whether the camera is occluded according to the result of the calculation.
Inventors:
HAN DONG SEOG (KR)
YOO MINWOO (KR)
SEONG JAEHO (KR)
YOO MINWOO (KR)
SEONG JAEHO (KR)
Application Number:
PCT/KR2022/017979
Publication Date:
June 29, 2023
Filing Date:
November 15, 2022
Export Citation:
Assignee:
KYUNGPOOK NAT UNIV IND ACADEMIC COOP FOUND (KR)
International Classes:
G06V10/764; G06N3/08; G06T3/40; G06T7/11; G06V10/44; G06V20/56
Foreign References:
| KR20190047243A | 2019-05-08 | |||
| US20210192745A1 | 2021-06-24 | |||
| KR20170034226A | 2017-03-28 | |||
| KR20200039043A | 2020-04-16 | |||
| KR20190026116A | 2019-03-13 |
Attorney, Agent or Firm:
YUN, Kuisang (KR)
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