Low-rank approximation for underwater drone localization

Goo Jung Park, Jung Hoon Noh, Seong Jun Oh

Research output: Contribution to journalArticlepeer-review


We herein propose a low-approximated least-squares method for underwater drone localization that does not require depth information. On the basis of error analysis, we propose a rule to deploy a set of surface drones that minimizes the impact of measurement errors such as GPS or distance measurement errors. The Evaluation results indicate that the proposed method outperforms the least-squares method when depth information is not provided.

Original languageEnglish
JournalICT Express
Publication statusAccepted/In press - 2023


  • Localization
  • SVD
  • Underwater

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Hardware and Architecture
  • Computer Networks and Communications
  • Artificial Intelligence


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