1 |
H. Jo, H. M. Cho, S. Lee, and E. Kim, "A Deep Convolutional Neural Network Based 6-DOF Relocalization with Sensor Fusion System," The Journal of Korea Robotics Society, vol. 14, no. 2, pp. 87-93, Jun., 2019.
DOI
|
2 |
D. Hwang, M. Jang, and J. Kim, "Development of a Low-cost Unmanned Underwater Vehicle and Performance Verification," The Journal of Korea Robotics Society, vol. 13, no. 2, pp. 103-112, Jun., 2018.
DOI
|
3 |
J. Han, Y. Cho, and J. Kim, "Coastal SLAM with Marine Radar for USV Operation in GPS-Restricted Situations," IEEE Journal of Oceanic Engineering, vol. 44, no. 2, pp. 300-309, Apr., 2019.
DOI
|
4 |
P.-M. Lee, B.-H. Jeon, S.-M. Kim, C.-M. Lee, U.-K. Lim, and S.-I Yang, "A Hybrid Navigation System for Underwater Unmanned Vehicles, Using a Range Sonar," Journal of Ocean Engineering and Technology, vol. 18, no. 4, pp. 33-39, 2004.
|
5 |
K. Kim, H.-T. Choi, S.-M. Kim, P.-M. Lee, C.-M. Lee, and S.-K. Cho, "Implementation of Deep-sea UUV Precise Underwater Navigation based on Multiple Sensor Fusion," Journal of Ocean Engineering and Technology, vol. 24, no. 3, pp. 46-51, 2010.
|
6 |
J. Melo and A. Matos, "Survey on advances on terrain based navigation for autonomous underwater vehicles," Ocean Engineering, vol. 139, pp. 250-264, 2017.
DOI
|
7 |
H. Rice, S. Kelmenson, and L. Mendelsohn, "Geophysical navigation technologies and applications," PLANS 2004. Position Location and Navigation Symposium (IEEE Cat. No.04CH37556), Monterey, CA, USA, pp. 618-624, 2004.
|
8 |
C.-M. Lee, P.-M. Lee, and W.-J. Seong, "Underwater Hybrid Navigation Algorithm Based on an Inertial Sensor and a Doppler Velocity Log Using an Indirect Feedback Kalman Filter," Journal of Ocean Engineering and Technology, vol. 17, no. 6, pp. 83-90, 2003.
|
9 |
Y. Lee, W.-S. Ra, K. Kim, M. Ahn, and B.-J. Lee, "Gertler- Hagen Hydrodynamic Model Based Velocity Estimation Filter for Long-term Underwater Navigation Without External Position Fix," The Transactions of the Korean Institute of Electrical Engineers, vol. 65, no. 11, pp. 1868-1878, 2016.
DOI
|
10 |
T. Kim, J. Kim, and S.-W. Byun, "A comparison of Nonlinear Filter Algorithms for Terrain-Referenced Underwater Navigation," International Journal of Control, Automation and Systems, vol. 16, no. 6, pp. 2977-2989, 2018.
DOI
|
11 |
J. Kim and T. Kim, "Terrain-Based Localization Using Particle Filter for Underwater Navigation," International Journal of Ocean System Engineering, vol. 1, no. 2, pp. 89-94, 2011.
DOI
|
12 |
T. Kim, J. Kim, and H.-T. Choi, "Terrain-referenced Underwater Navigation using Rao-Blackwellized Particle Filter," Institute of Control, Robotics and Systems, vol. 19, no. 8, pp. 682-687, 2013.
DOI
|
13 |
Francisco C Teixeira and Antonio M Pascoal, "Geophysical navigation of autonomous underwater vehicles using geomagnetic information," IFAC Proceedings Volumes, vol. 41, no. 1, pp. 178-183, 2008.
DOI
|
14 |
R. Pavteka, R. Karcol, D. Kusnirak, and A Mojzes, "Regcont: A matlab based program for stable downward continuation of geophysical potential fields using Tikhonov regularization," Computers & Geosciences, vol. 49, pp. 278-289, Dec., 2012.
DOI
|
15 |
A. Y. Jung, K.-S. Choi, Y-.C. Lee, and J. M. Lee, "External Gravity Field in the Korean Peninsula Area," The Korean Society of Economic and Environmental Geology, vol. 48, no. 6, pp. 451-465, 2015.
DOI
|
16 |
T. Kim, J. Kim, and S.-W. Byun, "A comparison of nonlinear filter algorithms for terrain-referenced underwater navigation," International Journal of Control, Automation and Systems, vol. 16, no. 6, pp. 2977-2989, 2018.
DOI
|
17 |
J. Jung, J. Park, and J. Choi, "Underwater Magnetic Field Mapping Using an Autonomous Surface Vehicle," The Journal of Korea Robotics Society, vol. 13, no. 3, pp. 190-197, Sept., 2018.
DOI
|
18 |
C. Lee, et al., "Marine Geological and Geophysical Study for compiling Marine Geological Maps around the Dok Island in the East Sea, Korea," Korea Institute of Geology, Minning, Materials, Daejeon, Korea, GOVP1199804862, pp. 208, 1997.
|
19 |
N. Kato and T. shigetomi, "Underwater Navigation for Long-Range Autonomous Underwater Vehicles Using Geomagnetic and Bathymetric Information," Advanced Robotics, vol. 23, pp. 787-803, 2009.
DOI
|