수중 항법을 위한 ROS 기반 시뮬레이터를 이용한 센서 데이터 수집 = Sensor Data Collection by Using ROS-based Simulator for Underwater Navigation

다국어 초록 (Multilingual Abstract)

Simultaneous localization and mapping (SLAM) is a navigation technology used in scenarios where the surrounding environment is unknown. Although SLAM technology is highly advanced in atmospheric environments, it is not highly effective in underwater environments because of various constraints. In addition, experiments in underwater environments involve higher risks and costs compared with other environments. Therefore, in this paper, a simulator-based data collection method was proposed to reduce risks and costs for effective experimentation. By using the proposed method, sensor data can be acquired by adding and generating paths to control the movement of underwater robots depending on research purposes. In addition, collected data can be saved in various formats to facilitate data processing. Moreover, an experiment was conducted to verify that SLAM can be performed using the data collected.

참고문헌 (Reference)

1 손홍철 ; 문채주 ; 김동섭, "전력선 용량증대를 위한 해저케이블 설계" 한국전자통신학회 17 (17): 77-84, 2022

2 김선영 ; 강창호, "영상 식별 및 항법 정확도 향상을 위한 적대적 오토인코더 기반 전처리 알고리즘" 제어·로봇·시스템학회 28 (28): 999-1005, 2022

3 이영준 ; 임유진 ; 여태경 ; 이세진 ; 정종대 ; 박대길 ; 한종부, "다중빔음향측심기 계측모델을 활용한 실시간 해저지형도 작성 모의시험" 제어·로봇·시스템학회 28 (28): 436-443, 2022

4 S. Zhang, "Underwater image enhancement via extended multi-scale Retinex" 245 : 1-9, 2017

5 J. Y. Chiang, "Underwater image enhancement by wavelength compensation and dehazing" 21 (21): 1756-1769, 2011

6 M. M. M. Manhães, "UUV simulator : a gazebo-based package for underwater intervention and multi-robot simulation" 1-8, 2016

7 G. Taraldsen, "The underwater GPS problem" 1-8, 2011

8 A. Boeing, "SubSim: an autonomous underwater vehicle simulation package" 33-38, 2006

9 A. Rajput, "Steering Control and Kalman Filter Position Estimation Comparison for an Autonomous Underwater Vehicle" University of Illinois 2021

10 J. J. Leonard, "Springer Handbook of Ocean Engineering" Springer 341-358, 2016

11 P. D. de Cerqueira Gava, "Simu2VITA: a general purpose underwater vehicle simulator" 22 (22): 3255-, 2022

12 D. Eleftherakis, "Sensors to increase the security of underwater communication cables: a review of underwater monitoring sensors" 20 (20): 737-, 2020

13 R. W. Hascaryo, "Reduced order extended kalman filter incorporating dynamics of an Autonomous Underwater Vehicle for Motion Prediction" University of Illinois 2019

14 P. Katara, "Open source simulator for unmanned underwater vehicles using ROS and Unity3D" 1-7, 2019

15 S. Balasubramanian, "Neural Network Modeling of the Dynamics of Autonomous Underwater Vehicles for Kalman Filtering and Improved Localization" University of Illinois 2020

16 E. Potokar, "HoloOcean : an underwater robotics simulator" 3040-3046, 2022

17 S. Saat, "Hectorslam 2d mapping for simultaneous localization and mapping (SLAM)" 1529 (1529): 042032-, 2020

18 김학준 ; 강수민 ; 김동한, "Gazebo 시뮬레이터를 활용한 고층 건물에서의 이동 로봇 실내 자율주행 알고리즘 개발" 제어·로봇·시스템학회 28 (28): 758-767, 2022

19 M. M. Zhang, "Dave aquatic virtual environment : toward a general underwater robotics simulator" 1-8, 2022

20 S. Balasubramanian, "Comparison of dynamic and kinematic model driven extended Kalman filters (EKF) for the localization of autonomous underwater vehicles"

21 정원영 ; 김선영 ; 박찬국 ; 강창호, "CNN 영상 회귀 기반의 산란계수 추정을 통한 연무제거" 제어·로봇·시스템학회 27 (27): 890-896, 2021

22 M. Prats, "An open source tool for simulation and supervision of underwater intervention missions" 2577-2582, 2012

23 H. S. Kim, "A study on underwater simulated based sensor data collection for underwater navigation" 107-108, 2022

24 M. Han, "A review on intelligence dehazing and color restoration for underwater images" 50 (50): 1820-1832, 2018

25 F. C. Vaz, "A localization approach for autonomous underwater vehicles: a ROS-Gazebo framework"