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.
|Publication status||Accepted/In press - 2023|
ASJC Scopus subject areas
- Information Systems
- Hardware and Architecture
- Computer Networks and Communications
- Artificial Intelligence