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Eonjoo Kim
Eonjoo Kim
Verified email at rmit.edu.au
Title
Cited by
Cited by
Year
Constrained path planning of autonomous underwater vehicle using selectively-hybridized particle swarm optimization algorithms
HS Lim, S Fan, CKH Chin, S Chai, N Bose, E Kim
IFAC-PapersOnLine 52 (21), 315-322, 2019
312019
Autonomous underwater vehicle navigation using sonar image matching based on convolutional neural network
W Yang, S Fan, S Xu, P King, B Kang, E Kim
IFAC-PapersOnLine 52 (21), 156-162, 2019
232019
Estimating water current velocities by using a model-based high-gain observer for an autonomous underwater vehicle
E Kim, S Fan, N Bose
IEEE Access 6, 70259-70271, 2018
212018
Current estimation and path following for an autonomous underwater vehicle (AUV) by using a high-gain observer based on an AUV dynamic model
E Kim, S Fan, N Bose, H Nguyen
International Journal of Control, Automation and Systems 19 (1), 478-490, 2021
192021
Path following for an autonomous underwater vehicle (AUV) by using a high-gain observer based on an AUV dynamic model
E Kim, S Fan, N Bose, H Nguyen
IFAC-PapersOnLine 52 (21), 218-223, 2019
72019
Autonomous underwater vehicle model-based high-gain observer for ocean current estimation
E Kim, S Fan, N Bose
2018 IEEE/OES Autonomous Underwater Vehicle Workshop (AUV), 1-6, 2018
52018
An Approach to Choose Observation Systems to Observe Ocean Phenomena
E Kim, ML Seto
2022 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE …, 2022
22022
Current estimation and path following for an autonomous underwater vehicle by using a model-based nonlinear observer
E Kim
University Of Tasmania, 2021
12021
Evaporation and mixing of ethanol-water mixture in a heavy duty common rail diesel engine intake air
E Kim, V Garaniya, TM Islam, R Abbassi
Australian Combustion Symposium 2015 (ACS2015), 2015
2015
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Articles 1–9