Browse by UCL people
Group by: Type | Date
Number of items: 30.
Article
Anderlini, E;
Salavasidis, G;
Harris, CA;
Wu, P;
Lorenzo, A;
Phillips, AB;
Thomas, G;
(2021)
A remote anomaly detection system for Slocum underwater gliders.
Ocean Engineering
, 236
, Article 109531. 10.1016/j.oceaneng.2021.109531.
|
Bedja-Johnson, Z;
Wu, P;
Grande, D;
Anderlini, E;
(2022)
Smart Anomaly Detection for Slocum Underwater Gliders with a Variational Autoencoder with Long Short-Term Memory Networks.
Applied Ocean Research
, 120
, Article 103030. 10.1016/j.apor.2021.103030.
|
|
Fan, Ailong;
Liu, Hanyou;
Wu, Peng;
Yang, Liu;
Guan, Cong;
Li, Taotao;
Bucknall, Richard;
(2025)
LSTM-Augmented DRL for Generalisable Energy Management of Hydrogen-Hybrid Ship Propulsion Systems.
eTransportation
, Article 100442. 10.1016/j.etran.2025.100442.
(In press).
|
Huang, Yanhong;
Zheng, Yijie;
Wu, Peng;
Zhang, Yao;
Liu, Jingxian;
Liu, Yuanchang;
(2025)
Multi-scale Oriented Detection with Shared Convolution for UAV-enabled Maritime Safety Surveillance.
Research
, 8
, Article 0920. 10.34133/research.0920.
|
|
Liu, Hanyou;
Fan, Ailong;
Bucknall, Richard;
Wu, Peng;
Liu, Yuanchang;
Xia, Minjie;
(2026)
Experimental verification of a dual-objective energy management strategy: a case study of hydrogen-electric ship.
Energy Conversion and Management
, 348
(Part B)
, Article 120659. 10.1016/j.enconman.2025.120659.
(In press).
|
|
Liu, Ziyuan;
Zhuang, Yan;
Wu, Peng;
Liu, Yuanchang;
(2025)
IRIS: An Information Path Planning Method Based on Reinforcement Learning and Information-Directed Sampling.
Pattern Recognition
(In press).
|
Luo, Yingbing;
Kong, Laiqiang;
Wu, Peng;
Fang, Sidun;
Niu, Tao;
Chen, Guanhong;
Liao, Ruijin;
(2025)
Physics-Informed Battery Aging Model under Marine Transport Swaying Conditions.
IEEE Transactions on Transportation Electrification
10.1109/tte.2025.3640141.
(In press).
|
Wang, S;
Ma, F;
Yan, X;
Wu, P;
Liu, Y;
(2021)
Adaptive and extendable control of unmanned surface vehicle formations using distributed deep reinforcement learning.
Applied Ocean Research
, 110
, Article 102590. 10.1016/j.apor.2021.102590.
|
Wu, P;
Harris, CA;
Salavasidis, G;
Lorenzo-Lopez, A;
Kamarudzaman, I;
Phillips, AB;
Thomas, G;
(2021)
Unsupervised anomaly detection for underwater gliders using generative adversarial networks.
Engineering Applications of Artificial Intelligence
, 104
, Article 104379. 10.1016/j.engappai.2021.104379.
|
Wu, P;
Partridge, J;
Anderlini, E;
Liu, Y;
Bucknall, R;
(2021)
Near-optimal energy management for plug-in hybrid fuel cell and battery propulsion using deep reinforcement learning.
International Journal of Hydrogen Energy
, 46
(80)
pp. 40022-40040.
10.1016/j.ijhydene.2021.09.196.
|
Wu, Peng;
Partridge, Julius;
Anderlini, Enrico;
Liu, Yuanchang;
Bucknall, Richard;
(2025)
An intelligent energy management framework for hybrid-electric propulsion systems using deep reinforcement learning.
International Journal of Hydrogen Energy
, 106
pp. 282-294.
10.1016/j.ijhydene.2025.01.380.
|
Wu, P;
Bucknall, R;
(2020)
Hybrid fuel cell and battery propulsion system modelling and multi-objective optimisation for a coastal ferry.
International Journal of Hydrogen Energy
, 45
(20)
pp. 3193-3208.
10.1016/j.ijhydene.2019.11.152.
|
Wu, P;
Partridge, J;
Bucknall, R;
(2020)
Cost-effective reinforcement learning energy management for plug-in hybrid fuel cell and battery ships.
Applied Energy
, 275
, Article 115258. 10.1016/j.apenergy.2020.115258.
|
Xie, Yongchang;
Wu, Peng;
Englot, Brendan;
Nanlal, Cassandra;
Liu, Yuanchang;
(2025)
Uncertainty-Aware Maritime Point Cloud Detector (U-MPCD) for Autonomous Surface Vehicles.
IEEE Journal of Oceanic Engineering
pp. 1-23.
10.1109/joe.2025.3612726.
(In press).
|
Xu, Lie;
Ji, Daxiong;
Ang, Marcelo;
Tan, Yan Zhi;
Liu, Yuanchang;
Wu, Peng;
(2025)
Physics-Guided GAN with Manhattan Attention: A Novel Approach for Imbalanced Bearing Vibration Fault Diagnosis.
IEEE Transactions on Instrumentation and Measurement
(In press).
|
Xue, H;
Chen, X;
Zhang, R;
WU, P;
Li, X;
Liu, Y;
(2021)
Deep Learning-Based Maritime Environment Segmentation for Unmanned Surface Vehicles Using Superpixel Algorithms.
Journal of Marine Science and Engineering
, 9
(12)
, Article 1329. 10.3390/jmse9121329.
|
Ye, Zehao;
Yanhong, Huang;
Wu, Peng;
Liu, Yuanchang;
(2025)
Bayesian deep learning based semantic segmentation for unmanned surface vehicles in uncertain marine environments.
Ocean Engineering
, 339
(Part 1)
, Article 122065. 10.1016/j.oceaneng.2025.122065.
|
|
Zhang, R;
Liu, J;
Li, S;
Shi, X;
Wu, P;
(2025)
Fine-grained maritime traffic perception via low-rank adaptive transformer and regional matching fusion.
Journal of Marine Engineering and Technology
10.1080/20464177.2025.2578910.
(In press).
|
Zhou, X;
Wu, P;
Zhang, H;
Guo, W;
Liu, Y;
(2019)
Learn to navigate: cooperative path planning for unmanned surface vehicles using deep reinforcement learning.
IEEE Access
, 7
pp. 165262-165278.
10.1109/ACCESS.2019.2953326.
|
Proceedings paper
Aldhaheri, S;
Hu, Y;
Xie, Y;
Wu, P;
Kanoulas, D;
Liu, Y;
(2025)
Underwater Robotic Simulators Review for Autonomous System Development.
In:
Oceans Conference Record IEEE.
IEEE
|
Dong, Z;
Liu, J;
Li, S;
Xu, C;
Liu, Y;
Wu, P;
(2025)
Progresses and Developments of Intelligent Tugs in Port Operations.
In:
Proceedings of the 8th International Conference on Transportation Information and Safety Transportation Artificial Intelligence and Green Energy Making A Sustainable World (ICTIS) 2025.
(pp. pp. 2021-2027).
IEEE
|
Farrier, LA;
Wu, P;
Bucknall, R;
(2017)
Opportunities and constraints of electrical energy storage systems in ships.
In:
Proceedings of the SCC Conference 2017.
Low Carbon Shipping & Shipping in Changing Climates: London, UK.
|
Grande, D;
Huang, L;
Harris, C;
Wu, P;
Thomas, G;
Anderlini, E;
(2022)
Open-source Simulation of Underwater Gliders.
In:
Oceans 2021.
IEEE
(In press).
|
Hu, Y;
Aldhaheri, S;
Wang, Y;
Wu, P;
Liu, Y;
(2025)
Enhancing Human-Robot Trust and Collaboration in Unmanned Surface Vehicles through Fault Diagnosis.
In:
Proceedings of the 34th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) 2025.
(pp. pp. 2266-2272).
IEEE
|
|
Luo, Yingbing;
Wu, Peng;
Kong, Laiqiang;
Zhang, Hailong;
Fang, Sidun;
Liao, Ruijin;
(2025)
Power characterization modeling of lithium-ion batteries under shipboard swaying conditions.
In:
(Proceedings) Power Systems and Electrical Technology.
IEEE
(In press).
|
Wu, P;
Harris, CA;
Salavasidis, G;
Kamarudzaman, I;
Phillips, AB;
Thomas, G;
Anderlini, E;
(2022)
Anomaly Detection and Fault Diagnostics for Underwater Gliders Using Deep Learning.
In:
Proceedings of OCEANS 2021: San Diego – Porto.
IEEE: San Diego, CA, USA.
|
Wu, P;
Bucknall, R;
(2018)
On the design of plug-in hybrid fuel cell and lithium battery propulsion systems for coastal ships.
In: Kujala, P and Lu, L, (eds.)
Marine Design XIII: Proceedings of the 13th International Marine Design Conference (IMDC 2018), June 10-14, 2018, Helsinki, Finland.
CRC Press: Boca Raton, FL, USA.
|
Wu, P;
Bucknall, RWG;
(2016)
Marine propulsion using battery power.
In:
(Proceedings) Shipping in Changing Climates Conference 2016.
|
Yin, Q;
Li, M;
Yuan, Y;
Wu, P;
Liu, G;
Bucknall, R;
(2019)
The design of energy efficiency management system for an electricn propulsion passenger ship in inland river.
In:
(Proceedings) 2019 5th International Conference on Transportation Information and Safety (ICTIS).
(pp. pp. 1453-1462).
IEEE: Liverpool, UK.
|
Thesis
Wu, Peng;
(2020)
Decarbonising coastal shipping using fuel cells and batteries.
Doctoral thesis (Ph.D), UCL (University College London).
|