- Robotics and Sensor-Based Localization
- Advanced Measurement and Detection Methods
- Rough Sets and Fuzzy Logic
- Advanced Data Processing Techniques
- Vehicle License Plate Recognition
- Remote Sensing and LiDAR Applications
- Video Surveillance and Tracking Methods
- Advanced Computational Techniques and Applications
- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
- Industrial Technology and Control Systems
- Advanced Vision and Imaging
- Real-time simulation and control systems
- Satellite Image Processing and Photogrammetry
- Remote Sensing and Land Use
- Optical measurement and interference techniques
- Remote-Sensing Image Classification
- Engineering Diagnostics and Reliability
- Photonic and Optical Devices
- Autonomous Vehicle Technology and Safety
- Vibration and Dynamic Analysis
- Advanced Fiber Optic Sensors
Anhui University of Technology
2013-2024
Nanjing University of Aeronautics and Astronautics
2008-2018
Air Force Engineering University
2017
Abstract To guarantee the security of personnel on-site, diagnosing malfunction mechanical apparatus is imperative. The accomplishments within domain fault diagnosis have been partly attributed to advancements in deep learning technology, which excels feature extraction through extensive datasets. However, it difficult collect sufficient data train high-precision models practice. A novel method called convolution generative adversarial network (DCGAN)-RepLKNet proposed address challenge...
Purpose This paper aims to propose a robust and efficient method for vanishing point detection in unstructured road scenes. Design/methodology/approach The proposed includes two main stages: drivable region estimation detection. In stage, the image is segmented into set of patches; then estimated by patch-wise manifold ranking. LSD used extract straight lines; series principles are remove noise lines. Finally, detected novel voting strategy. Findings validated on various images collected...
According to color characteristics of insulator ,The paper is based on HSI model and Mean Shift algorithm in order segmentation images. It firstly introduces theory mean shift algorithm, then explains morphological processing with edge detection extract the images contour. Last using Hough transform obtain results. Experiment indicates that VC6.0 combined opencv simulation proposed could effectively provides basis for follow-up determination faults.
The traditional affine iterative closest point (ICP) algorithm is fast and accurate for registration between two sets, but it easy to fall into local minimum. This paper proposes a robust Affine ICP based on corner points. First, an objective function established under the guidance of points, where points as shape control guides 2D sets. Then, at each step algorithm, transformation obtained by last used establish correspondence these Next, new solved using Experimental results demonstrate...
In this study, a novel approach designing virtual prototype (VP) of FCS (namely FCS-VP) for the requirement rapid and reliable development UAV based on Statemate technology is proposed. The hierarchical function model set up with Activity-Charts after introducing behaviors, at end paper, hardware-inthe-loop simulation testbed FCS-VP built. Results experiments show that mini-scale, highspeed real time system can be made lowest investment, without any loss performance, same environment provide...