- Advanced Algorithms and Applications
- Advanced Measurement and Detection Methods
- Autonomous Vehicle Technology and Safety
- Image and Object Detection Techniques
- Machine Learning and ELM
- Industrial Vision Systems and Defect Detection
- Video Surveillance and Tracking Methods
- Image and Video Stabilization
- Brain Tumor Detection and Classification
- Smart Agriculture and AI
- Military Defense Systems Analysis
- Underwater Vehicles and Communication Systems
- Target Tracking and Data Fusion in Sensor Networks
- Mineral Processing and Grinding
- Image Retrieval and Classification Techniques
- Medical Image Segmentation Techniques
- Underwater Acoustics Research
- Spectroscopy Techniques in Biomedical and Chemical Research
- Advanced Decision-Making Techniques
- Spectroscopy and Chemometric Analyses
- Advanced Neural Network Applications
- Tensor decomposition and applications
Wuhan University of Science and Technology
2024
Zhengzhou University of Light Industry
2023
Shenyang Institute of Automation
2019
Chinese Academy of Sciences
2019
University of Chinese Academy of Sciences
2019
Shanghai University of Engineering Science
2018
Modern Electron (United States)
2015
Yangzhou University
2014
Hunan Institute of Science and Technology
2009
Lane detection is a challenging problem. It has attracted the attention of computer vision community for several decades. Essentially, lane multifeature problem that become real challenge and machine learning techniques. Although many methods are used detection, they mainly classification rather than feature design. But modern can be to identify features rich in recognition have achieved success tests. However, these not been fully implemented efficiency accuracy detection. In this paper, we...
Due to its advantages in size and energy consumption, mechanical scanning imaging sonar (MSIS) has been widely used portable economic underwater robots observe the turbid noisy environment. However, handicapped by coarseness spatial temporal resolution, it is difficult stitch scan pieces together into a panoramic map for global understanding. A registration method named symmetrical Kullback–Leibler divergence (SKLD)-distribution-to-distribution (D2D), which models each as Gaussian mixture...
Lane detection, a crucial component of autonomous driving systems, is in charge precise lane location to ensure that cars navigate lanes appropriately. However, challenging conditions like shadows and extreme lighting, may become obstructed or blurred, posing significant challenge the lane-detection task as model struggles extract sufficient visual information from image. The current anchor-based network detects complex scenes by mapping anchors images features calculating relationship...
In order to solve the problem of coal sample images classification, this paper proposes a new method which includes pre-processing and an advanced KSVD algorithm. The algorithm sparse coding (find coefficient x) dictionary update D), then we get adaptive iteratively. Finally, use SVM classification. For classification samples with no obvious features, has been shown be effective. Experiments show that proposed good stability accuracy in images.