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Yuanchang Liu
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Cited by
Year
Path planning algorithm for unmanned surface vehicle formations in a practical maritime environment
Y Liu, R Bucknall
Ocean engineering 97, 126-144, 2015
2522015
Smoothed A* algorithm for practical unmanned surface vehicle path planning
R Song, Y Liu, R Bucknall
Applied Ocean Research 83, 9-20, 2019
2252019
A survey of formation control and motion planning of multiple unmanned vehicles
Y Liu, R Bucknall
Robotica 36 (7), 1019-1047, 2018
1672018
A multi-layered fast marching method for unmanned surface vehicle path planning in a time-variant maritime environment
R Song, Y Liu, R Bucknall
Ocean Engineering 129, 301-317, 2017
1452017
Learn to navigate: cooperative path planning for unmanned surface vehicles using deep reinforcement learning
X Zhou, P Wu, H Zhang, W Guo, Y Liu
Ieee Access 7, 165262-165278, 2019
1162019
The angle guidance path planning algorithms for unmanned surface vehicle formations by using the fast marching method
Y Liu, R Bucknall
Applied Ocean Research 59, 327-344, 2016
942016
Efficient multi-task allocation and path planning for unmanned surface vehicle in support of ocean operations
Y Liu, R Bucknall
Neurocomputing 275, 1550-1566, 2018
932018
Decision-making for the autonomous navigation of maritime autonomous surface ships based on scene division and deep reinforcement learning
X Zhang, C Wang, Y Liu, X Chen
Sensors 19 (18), 4055, 2019
892019
A ship movement classification based on Automatic Identification System (AIS) data using Convolutional Neural Network
X Chen, Y Liu, K Achuthan, X Zhang
Ocean Engineering 218, 108182, 2020
772020
The fast marching method based intelligent navigation of an unmanned surface vehicle
Y Liu, R Bucknall, X Zhang
Ocean Engineering 142, 363-376, 2017
772017
Intelligent multi-task allocation and planning for multiple unmanned surface vehicles (USVs) using self-organising maps and fast marching method
Y Liu, R Song, R Bucknall, X Zhang
Information Sciences 496, 180-197, 2019
732019
A robust localization method for unmanned surface vehicle (USV) navigation using fuzzy adaptive Kalman filtering
W Liu, Y Liu, R Bucknall
IEEE Access 7, 46071-46083, 2019
642019
Predictive navigation of unmanned surface vehicles in a dynamic maritime environment when using the fast marching method
Y Liu, W Liu, R Song, R Bucknall
International Journal of Adaptive Control and Signal Processing 31 (4), 464-488, 2017
502017
Optimised MOPSO with the grey relationship analysis for the multi-criteria objective energy dispatch of a novel SOFC-solar hybrid CCHP residential system in the UK
X Yuan, Y Liu, R Bucknall
Energy Conversion and Management 243, 114406, 2021
432021
Smartphone-app based point-of-care testing for myocardial infarction biomarker cTnI using an autonomous capillary microfluidic chip with self-aligned on-chip focusing (SOF) lenses
C Liang, Y Liu, A Niu, C Liu, J Li, D Ning
Lab on a Chip 19 (10), 1797-1807, 2019
422019
Uninterrupted path planning system for Multi-USV sampling mission in a cluttered ocean environment
S MahmoudZadeh, A Abbasi, A Yazdani, H Wang, Y Liu
Ocean engineering 254, 111328, 2022
412022
Two-phase energy efficiency optimisation for ships using parallel hybrid electric propulsion system
Y He, A Fan, Z Wang, Y Liu, W Mao
Ocean engineering 238, 109733, 2021
402021
WODIS: Water obstacle detection network based on image segmentation for autonomous surface vehicles in maritime environments
X Chen, Y Liu, K Achuthan
IEEE Transactions on Instrumentation and Measurement 70, 1-13, 2021
402021
Unsupervised learning based coordinated multi-task allocation for unmanned surface vehicles
S Ma, W Guo, R Song, Y Liu
Neurocomputing 420, 227-245, 2021
382021
A practical path planning and navigation algorithm for an unmanned surface vehicle using the fast marching algorithm
Y Liu, R Song, R Bucknall
OCEANS 2015-Genova, 1-7, 2015
362015
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