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Steering control for underwater gliders Article
You LIU, Qing SHEN, Dong-li MA, Xiang-jiang YUAN
Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 7, Pages 898-914 doi: 10.1631/FITEE.1601735
Keywords: Autonomous underwater glider (AUG) Online system identification Steering control Adaptive control
Effects of thermocline on performance of underwater glider’s power system propelled by ocean thermal
Hai YANG, Jie MA,
Frontiers in Energy 2009, Volume 3, Issue 4, Pages 472-479 doi: 10.1007/s11708-009-0052-7
Keywords: mathematical underwater glider system working certain corresponding threshold
Development of Autonomous Underwater Vehicles Technology
Wu Yousheng, Zhao Yiyu, Lang Shuyan, Wang Chuanrong
Strategic Study of CAE 2020, Volume 22, Issue 6, Pages 26-31 doi: 10.15302/J-SSCAE-2020.06.004
Keywords: deep-sea exploration autonomous underwater vehicles development trend key technologies fundamental
Robust global route planning for an autonomous underwater vehicle in a stochastic environment Research Article
Jiaxin ZHANG, Meiqin LIU, Senlin ZHANG, Ronghao ZHENG
Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 11, Pages 1658-1672 doi: 10.1631/FITEE.2200026
This paper describes a route planner that enables an to selectively complete part of the predetermined tasks in the operating ocean area when the local path cost is stochastic. The problem is formulated as a variant of the . Based on the (GA), we propose the greedy strategy based GA (GGA) which includes a novel rebirth operator that maps infeasible individuals into the feasible solution space during evolution to improve the efficiency of the optimization, and use a differential evolution planner for providing the deterministic local path cost. The uncertainty of the local path cost comes from unpredictable obstacles, measurement error, and trajectory tracking error. To improve the robustness of the planner in an uncertain environment, a sampling strategy for path evaluation is designed, and the cost of a certain route is obtained by multiple sampling from the probability density functions of local paths. Monte Carlo simulations are used to verify the superiority and effectiveness of the planner. The promising simulation results show that the proposed GGA outperforms its counterparts by 4.7%–24.6% in terms of total profit, and the sampling-based GGA route planner (S-GGARP) improves the average profit by 5.5% compared to the GGA route planner (GGARP).
Keywords: Autonomous underwater vehicle Route planning Genetic algorithm Orienteering problem Stochastic path
A space-saving steering method for underwater gliders in lake monitoring Article
Yu-shi ZHU, Can-jun YANG, Shi-jun WU, Qing LI, Xiao-le XU
Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 4, Pages 485-497 doi: 10.1631/FITEE.1500399
Keywords: Underwater glider Lake monitoring Space-saving Steering method Small pitch angle (SPA) Hydrodynamics
Turbidity-adaptive underwater image enhancement method using image fusion
Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-021-0669-8
Keywords: turbidity underwater image enhancement image fusion underwater robots visibility
Multi-AUV SOM task allocation algorithm considering initial orientation and ocean current environment Special Feature on Intelligent Robats
Da-qi ZHU, Yun QU, Simon X. YANG
Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 3, Pages 330-341 doi: 10.1631/FITEE.1800562
There is an ocean current in the actual underwater working environment.An improved self-organizing neural network task allocation model of multiple autonomous underwater vehicles(AUVs) is proposed for a three-dimensional underwater workspace in the ocean current.
Keywords: Autonomous underwater vehicles Self-organizing neural networks Azimuths Ocean current
Design and construction technology of underwater tunnel
Wang Mengshu
Strategic Study of CAE 2009, Volume 11, Issue 7, Pages 4-10
Keywords: underwater tunnel design construction
An autonomous miniature wheeled robot based on visual feedback control
CHEN Haichu
Frontiers of Mechanical Engineering 2007, Volume 2, Issue 2, Pages 197-200 doi: 10.1007/s11465-007-0033-7
Keywords: measuring distance autonomous locomotion advantage navigation
Zhijie HUANG, Xiaodan REN, Zuyu CHEN, Daosheng LING
Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 6, Pages 1350-1362 doi: 10.1007/s11709-019-0559-x
Keywords: underwater explosion centrifuge experiment shock load dynamic response accumulated shock impulse
Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0686-2
Keywords: autonomous excavation unmanned electric shovel point cloud excavation trajectory planning
Wenxuan CAO; Junjie LI
Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 11, Pages 1378-1396 doi: 10.1007/s11709-022-0855-8
Keywords: underwater cracks remote operated vehicle image stitching image segmentation graph convolutional
Extended model predictive control scheme for smooth path following of autonomous vehicles
Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1, Pages 4-4 doi: 10.1007/s11465-021-0660-4
Keywords: autonomous vehicles vehicle dynamic modeling model predictive control path following optimization
Thoughts and Suggestions on Autonomous Driving Map Policy
Liu Jingnan, Dong Yang, Zhan Jiao, Gao Kefu
Strategic Study of CAE 2019, Volume 21, Issue 3, Pages 92-97 doi: 10.15302/J-SSCAE-2019.03.004
As a key infrastructure to realize autonomous driving, autonomous drivingmap is crucial to the commercial development of the autonomous driving field in China.driving maps in China, i.e., encryption of autonomous driving maps, limitations on geographic informationMeanwhile, combining the development trends of domestic and international autonomous driving fields,and orderly opening of autonomous driving maps, appropriately opening up corporate authorization and
Keywords: autonomous driving map autonomous driving regulation autonomous driving policy
General Optimal Trajectory Planning: Enabling Autonomous Vehicles with the Principle of Least Action
Heye Huang,Yicong Liu,Jinxin Liu,Qisong Yang,Jianqiang Wang,David Abbink,Arkady Zgonnikov,
Engineering doi: 10.1016/j.eng.2023.10.001
Keywords: Autonomous vehicle Trajectory planning Multi-performance objectives Principle of least action
Title Author Date Type Operation
Steering control for underwater gliders
You LIU, Qing SHEN, Dong-li MA, Xiang-jiang YUAN
Journal Article
Effects of thermocline on performance of underwater glider’s power system propelled by ocean thermal
Hai YANG, Jie MA,
Journal Article
Development of Autonomous Underwater Vehicles Technology
Wu Yousheng, Zhao Yiyu, Lang Shuyan, Wang Chuanrong
Journal Article
Robust global route planning for an autonomous underwater vehicle in a stochastic environment
Jiaxin ZHANG, Meiqin LIU, Senlin ZHANG, Ronghao ZHENG
Journal Article
A space-saving steering method for underwater gliders in lake monitoring
Yu-shi ZHU, Can-jun YANG, Shi-jun WU, Qing LI, Xiao-le XU
Journal Article
Multi-AUV SOM task allocation algorithm considering initial orientation and ocean current environment
Da-qi ZHU, Yun QU, Simon X. YANG
Journal Article
Centrifuge experiment and numerical analysis of an air-backed plate subjected to underwater shock loading
Zhijie HUANG, Xiaodan REN, Zuyu CHEN, Daosheng LING
Journal Article
Toward autonomous mining: design and development of an unmanned electric shovel via point cloud-based
Journal Article
Detecting large-scale underwater cracks based on remote operated vehicle and graph convolutional neural
Wenxuan CAO; Junjie LI
Journal Article
Extended model predictive control scheme for smooth path following of autonomous vehicles
Journal Article
Thoughts and Suggestions on Autonomous Driving Map Policy
Liu Jingnan, Dong Yang, Zhan Jiao, Gao Kefu
Journal Article