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Detecting large-scale underwater cracks based on remote operated vehicle and graph convolutional neural

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

Abstract: It is of great significance to quickly detect underwater cracks as they can seriously threaten the safetyof underwater structures.In this paper, a large-scale underwater crack examination method is proposed based on image stitchingIn addition, a purpose of this paper is to design a new convolution method to segment underwater imagesThe result shows that the improved APAP algorithm and GCN can adapt to complex underwater environments

Keywords： underwater cracks     remote operated vehicle     image stitching     image segmentation     graph convolutional    

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The Development and Research Synopsis of Large UAV in China

Zhao Xu

Strategic Study of CAE 2003, Volume 5, Issue 1,   Pages 38-41

Abstract: first developed simulated target drone, all kinds of substantial pilotless drone and the developing unmannedattack air vehicle.The developing journey of all kinds of unmanned air vehicle is formulised.

Keywords： target drone     unmanned air vehicle (UAV)     unmanned combat air vehicle (UCAV)     development     application    

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for seeking the best communication point for data collection from a seabed platform using a single unmannedsurface vehicle Research Papers

Jiu-cai JIN, Jie ZHANG, Zhi-chao LV

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 6,   Pages 751-759 doi: 10.1631/FITEE.1700732

Abstract: finding the best communication point is proposed for collecting data from a seabed platform by a single unmannedsurface vehicle (USV) using underwater acoustic communication (UAC).A single vehicle cannot rapidly estimate the field because of the limited extent for measurement; therefore, it is difficult for a single vehicle to seek the extremum point in a field.

Keywords： Unmanned surface vehicle     Data collection     Underwater acoustic communication     Gradient climbing     Extremum    

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A review of cooperative path planning of an unmanned aerial vehicle group

Hao Zhang, Bin Xin, Li-hua Dou, Jie Chen, Kaoru Hirota,brucebin@bit.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 12,   Pages 1671-1814 doi: 10.1631/FITEE.2000228

Abstract: As a cutting-edge branch of unmanned aerial vehicle (UAV) technology, the of a group of UAVs has attracted
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Underwater Attack–Defense Confrontation System and Its Future Development

Xie Wei, Yang Meng, Gong Junbin

Strategic Study of CAE 2019, Volume 21, Issue 6,   Pages 71-79 doi: 10.15302/J-SSCAE-2019.06.014

Abstract:

As an important development direction of naval warfare, the underwater attack–defense confrontationsystem integrates underwater warning, scout, detection, attack, defense and a series of other operationsCurrently, although underwater offensive and defensive weapons have developed rapidly, research on theThis paper first summarizes the status quo of underwater confrontation system construction in some militarypowers, and analyzes the functional composition and typical combat styles of the future underwater attack

Keywords： underwater attack and defense     confrontation system     coordinated combat     unmanned system    

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Dynamic Target Tracking of Unmanned Aerial Vehicles Under Unpredictable Disturbances

Yanjie Chen,Yangning Wu,Limin Lan,Hang Zhong,Zhiqiang Miao,Hui Zhang,Yaonan Wang,

Engineering doi: 10.1016/j.eng.2023.05.017

Abstract: This study proposes an image-based visual servoing (IBVS) method based on a velocity observer for an unmannedaerial vehicle (UAV) for tracking a dynamic target in Global Positioning System (GPS)-denied environments

Keywords： Unmanned aerial vehicle     Visual servoing     Velocity observer     Target tracking    

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Secure connectivity analysis in unmanned aerial vehicle networks None

Xin YUAN, Zhi-yong FENG, Wen-jun XU, Zhi-qing WEI, Ren-ping LIU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 3,   Pages 409-422 doi: 10.1631/FITEE.1700032

Abstract: The distinctive characteristics of unmanned aerial vehicle networks (UAVNs), including highly dynamic

Keywords： Unmanned aerial vehicle networks (UAVNs)     Trust model     Secure connectivity     Doppler shift    

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Development of Marine Equipment for Underwater Stereoscopic Observation

Ma Rui, Zhao Xiutao, Liu Cungen

Strategic Study of CAE 2020, Volume 22, Issue 6,   Pages 19-25 doi: 10.15302/J-SSCAE-2020.06.003

Abstract:

Establishing an underwater stereoscopic observation network to obtainThis study first analyzes the need and necessity of developing the underwater stereoscopic observationdevelopment, and presents the key breakthrough points of marine sensors which serve as the key link for underwatertransformation of research results of key marine sensors, coordinate the management of the marine equipment for underwater

Keywords： ocean observation     sea floor observatory network     underwater vehicle     underwater sensor    

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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

Abstract:

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    

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Distributed game strategy for unmanned aerial vehicle formation with external disturbances and obstacles Research Article

Yang YUAN, Yimin DENG, Sida LUO, Haibin DUAN

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 7,   Pages 1020-1031 doi: 10.1631/FITEE.2100559

Abstract: We investigate a for formations with external disturbances and obstacles. The strategy is based on a framework and . First, we propose a to estimate the influence of a disturbance, and prove that the observer converges in fixed time using a Lyapunov function. Second, we design an based on topology reconstruction, by which the UAV can save energy and safely pass obstacles. Third, we establish a distributed MPC framework where each UAV exchanges messages only with its neighbors. Further, the cost function of each UAV is designed, by which the UAV formation problem is transformed into a game problem. Finally, we develop LFPIO and use it to solve the Nash equilibrium. Numerical simulations are conducted, and the efficiency of LFPIO based distributed MPC is verified through comparative simulations.

Keywords： Distributed game strategy     Unmanned aerial vehicle (UAV)     Distributed model predictive control (MPC)    

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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

Abstract: Clear, correct imaging is a prerequisite for underwater operations.Most of the existing underwater imaging methods focus on relatively clear underwater environment, itis uncertain that if those methods can work well in turbid and dynamic underwater environments.In this paper, we propose a turbidity-adaptive underwater image enhancement method.The proposed method is verified by an underwater image dataset captured in real underwater environment

Keywords： turbidity     underwater image enhancement     image fusion     underwater robots     visibility    

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AUV Path Planning in 3D Seabed Environment Using Genetic Algorithm

Hao Yanling,Zhang Jingjuan

Strategic Study of CAE 2003, Volume 5, Issue 11,   Pages 56-60

Abstract:

The path-planning algorithm of AUV in 3D seabed environment is studied. For 3D environment, the optimal paths are classified into three different types. The optimal paths of each type are obtained flexibly by using genetic algorithm, especially the incorporating of problem-specific knowledge and penalty function. Simulation results show the feasibility and reliability of the path-planning algorithm, which has considerable value on the safe navigation of AUV in seabed environment.

Keywords： 3D path planning     genetic algorithm     seabed terrain     underwater vehicle    

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Toward autonomous mining: design and development of an unmanned electric shovel via point cloud-based

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0686-2

Abstract: With the proposal of intelligent mines, unmanned mining has become a research hotspot in recent yearsIn this study, an unmanned electric shovel (UES) is developed, and key robotization processes consisting

Keywords： autonomous excavation     unmanned electric shovel     point cloud     excavation trajectory planning    

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Current trends in the development of intelligent unmanned autonomous systems Review

Tao ZHANG,Qing LI,Chang-shui ZHANG,Hua-wei LIANG,Ping LI,Tian-miao WANG,Shuo LI,Yun-long ZHU,Cheng WU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 1,   Pages 68-85 doi: 10.1631/FITEE.1601650

Abstract: Intelligent unmanned autonomous systems are some of the most important applications of artificial intelligenceThis paper introduces the trends in the development of intelligent unmanned autonomous systems by summarizingFurthermore, we classify the relevant technologies into seven areas, including AI technologies, unmannedvehicles, unmanned aerial vehicles, service robots, space robots, marine robots, and unmanned workshops

Keywords： Intelligent unmanned autonomous system     Autonomous vehicle     Artificial intelligence     Robotics     Development    

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Safe navigation of quadrotorswith jerk limited trajectory None

Shu-peng LAI, Meng-lu LAN, Ya-xuan LI, Ben M. CHEN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 1,   Pages 107-119 doi: 10.1631/FITEE.1800719

Abstract:

Many aerial applications require unmanned aerial systems operate in safe zones because of the presencenon-trivial task to generate a smooth trajectory satisfying both dynamic constraints and motion limits of the unmanned

Keywords： Quadrotor     Unmanned aerial vehicle     Motion planning    

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Title Author Date Type Operation

Detecting large-scale underwater cracks based on remote operated vehicle and graph convolutional neural

Wenxuan CAO; Junjie LI

Journal Article

The Development and Research Synopsis of Large UAV in China

Zhao Xu

Journal Article

for seeking the best communication point for data collection from a seabed platform using a single unmannedsurface vehicle

Jiu-cai JIN, Jie ZHANG, Zhi-chao LV

Journal Article

A review of cooperative path planning of an unmanned aerial vehicle group

Hao Zhang, Bin Xin, Li-hua Dou, Jie Chen, Kaoru Hirota,brucebin@bit.edu.cn

Journal Article

Underwater Attack–Defense Confrontation System and Its Future Development

Xie Wei, Yang Meng, Gong Junbin

Journal Article

Dynamic Target Tracking of Unmanned Aerial Vehicles Under Unpredictable Disturbances

Yanjie Chen,Yangning Wu,Limin Lan,Hang Zhong,Zhiqiang Miao,Hui Zhang,Yaonan Wang,

Journal Article

Secure connectivity analysis in unmanned aerial vehicle networks

Xin YUAN, Zhi-yong FENG, Wen-jun XU, Zhi-qing WEI, Ren-ping LIU

Journal Article

Development of Marine Equipment for Underwater Stereoscopic Observation

Ma Rui, Zhao Xiutao, Liu Cungen

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

Distributed game strategy for unmanned aerial vehicle formation with external disturbances and obstacles

Yang YUAN, Yimin DENG, Sida LUO, Haibin DUAN

Journal Article

Turbidity-adaptive underwater image enhancement method using image fusion

Journal Article

AUV Path Planning in 3D Seabed Environment Using Genetic Algorithm

Hao Yanling,Zhang Jingjuan

Journal Article

Toward autonomous mining: design and development of an unmanned electric shovel via point cloud-based

Journal Article

Current trends in the development of intelligent unmanned autonomous systems

Tao ZHANG,Qing LI,Chang-shui ZHANG,Hua-wei LIANG,Ping LI,Tian-miao WANG,Shuo LI,Yun-long ZHU,Cheng WU

Journal Article

Safe navigation of quadrotorswith jerk limited trajectory

Shu-peng LAI, Meng-lu LAN, Ya-xuan LI, Ben M. CHEN

Journal Article