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Patent Searching and Data


Title:
METHOD AND DEVICE FOR SENSING SURROUNDING ENVIRONMENT USING IMAGE SEGMENTATION
Document Type and Number:
WIPO Patent Application WO/2020/050498
Kind Code:
A1
Abstract:
The present invention relates to a method for sensing a surrounding environment using image segmentation. A learning method of an artificial neural network for receiving a marine image and outputting information on the type and distance of an object included in the marine image, comprises: a step of obtaining a marine image including the sea and obstacles; a step of generating labeling data including a plurality of labeling values from the marine image; a step of receiving, by means of an artificial neural network, the marine image and outputting output data including a plurality of output values; a step of calculating an error value using the labeling data and the output data; and a step of updating the artificial neural network on the basis of the error value.

Inventors:
PARK BYEOL TEO (KR)
KIM HAN KEUN (KR)
KIM DONG HOON (KR)
Application Number:
KR2019/009231
Publication Date:
March 12, 2020
Filing Date:
July 25, 2019
Export Citation:
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Assignee:
SEADRONIX CORP (KR)
International Classes:
G05D1/00; B63B43/20; G01C21/20; G05D1/02; G06K9/00; G06K9/20; G06N3/08; G06T7/11; G08G3/02
Foreign References:
KR101771146B12017-08-24
KR20180065411A2018-06-18
KR20150125863A2015-11-10
Other References:
BOVCON, BORJA ET AL.: "Stereo obstacle detection for unmanned surface vehicles by IMU-assisted semantic segmentation", ROBOTICS AND AUTONOMOUS SYSTEMS, vol. 104, 22 February 2018 (2018-02-22), XP081571576, Retrieved from the Internet [retrieved on 20191106]
POLVARA, RICCARDO ET AL.: "Obstacle Avoidance Approaches for Autonomous Navigation of Unmanned Surface Vehicles", THE JOURNAL OF NAVIGATION, vol. 71, no. 1, January 2018 (2018-01-01), XP055689755
Attorney, Agent or Firm:
IPS PATENT FIRM (KR)
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