3D-Modeling Dataset Augmentation for Underwater AUV Real-time Manipulations*

Chua Chin Wang, Chia Yi Huang, Chu Han Lin, Chia Hung Yeh, Guan Xian Liu, Yu Cheng Chou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Underwater real-time object recognition is essential to unmanned underwater drones, namely autonomous underwater vehicles (AUV), cruising in the ocean. As the deep learning technology evolves swiftly lately, the attempt for AUVs to fully understand the surrounding environment becomes an emerging demand for marine or military applications. No matter which approach that deep learning manages to adopt, a large dataset with sufficient number of images for each object is required. In this investigation, a dataset augmentation method based on 3D modeling is proposed to resolve the mentioned problem. By rotating and scaling the target object in 3 dimensions with different backgrounds, the number of underwater object images is increased over 1000 times. Through the proposed method, high quality image data are forged to improve the recognition accuracy of those rare underwater objects, which are very hard to collect enough number of images, by 20% based on real-time video clips' experiment.

Original languageEnglish
Title of host publicationProceedings of 2020 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2020
EditorsXuan-Tu Tran, Duy-Hieu Bui
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages145-148
Number of pages4
ISBN (Electronic)9781728193960
DOIs
Publication statusPublished - 2020 Dec 8
Externally publishedYes
Event16th IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2020 - Virtual, Halong, Viet Nam
Duration: 2020 Dec 82020 Dec 10

Publication series

NameProceedings of 2020 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2020

Conference

Conference16th IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2020
Country/TerritoryViet Nam
CityVirtual, Halong
Period2020/12/082020/12/10

Keywords

  • 3D modeling
  • AUV
  • dataset
  • real-time recognition
  • underwater object

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Artificial Intelligence
  • Computer Networks and Communications

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