A5100640958- Machine Fault Diagnosis Techniques
- Nanofluid Flow and Heat Transfer
- Fault Detection and Control Systems
- Gear and Bearing Dynamics Analysis
- Heat Transfer and Optimization
- Vibration Control and Rheological Fluids
- Engineering Diagnostics and Reliability
- Phase Change Materials Research
- Heat Transfer Mechanisms
- Advanced machining processes and optimization
- Robotics and Sensor-Based Localization
- Solar Thermal and Photovoltaic Systems
- Autonomous Vehicle Technology and Safety
- Maritime Navigation and Safety
- Traffic Prediction and Management Techniques
- Hydraulic and Pneumatic Systems
- Structural Health Monitoring Techniques
- Robotic Path Planning Algorithms
- Advanced Neural Network Applications
- Advanced Manufacturing and Logistics Optimization
- Traffic control and management
- Industrial Vision Systems and Defect Detection
- Underwater Vehicles and Communication Systems
- Adaptive Control of Nonlinear Systems
- Tribology and Lubrication Engineering
Opole University of Technology
2020-2025
Yonsei University
2020-2025
Ocean University of China
2018-2025
University of Electronic Science and Technology of China
2025
Xiamen University
2024
China Shipbuilding Industry Corporation (China)
2023
South China University of Technology
2023
Shanghai Innovative Research Center of Traditional Chinese Medicine
2023
Karamay Central Hospital
2023
Suzhou Research Institute
2019-2023
The use of object detection algorithms has become extremely important in autonomous vehicles. Object at high accuracy and a fast inference speed is essential for safe driving. Therefore, the balance between effectiveness efficiency detector must be considered. This article proposes one-stage framework improving while supporting true real-time operation based on YOLOv4. backbone network proposed CSPDarknet53_dcn(P). last output layer CSPDarknet53 replaced with deformable convolution to...
This paper investigates the tracking control problem of marine surface vessels (MSVs) in presence uncertain dynamics and external disturbances. The facts that actuators are subject to undesirable faults input saturation taken into account. Benefiting from smoothness Gaussian error function, a novel function is introduced replace each nonsmooth actuator nonlinearity. Applying hand position approach, original motion underactuated MSVs transformed standard integral cascade form so vector design...
This paper addresses the co-design problem of a fault detection filter and controller for networked-based unmanned surface vehicle (USV) system subject to communication delays, external disturbance, faults, aperiodic denial-of-service (DoS) jamming attacks. First, an event-triggering scheme is proposed enhance efficiency network resource utilization while counteracting impact DoS attacks on USV control performance. Second, event-based switched presented account simultaneous presence Third,...
This paper aims to solve the path following problem for an underactuated unmanned-surface-vessel (USV) based on deep reinforcement learning (DRL). A smoothly-convergent DRL (SCDRL) method is proposed Q network (DQN) and learning. In this new method, improved DQN structure was developed as a decision-making reduce complexity of control law three-degree freedom USV model. An exploring function adaptive gradient descent extract training knowledge from empirical data. addition, reward designed...
In recent years, considerable progress has been made in semantic segmentation of images with favorable environments. However, the environmental perception autonomous driving under adverse weather conditions is still very challenging. particular, low visibility at nighttime greatly affects safety. this paper, we aim to explore image low-light scenarios, thereby expanding application range vehicles. The algorithms for road scenes based on deep learning are highly dependent volume pixel-level...