Image and Lidar Sensor Technology and Applications for NDE
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".
Deadline for manuscript submissions: closed (31 August 2020) | Viewed by 2928
Special Issue Editor
Special Issue Information
Dear Colleagues,
The Special Issue of the journal Applied Sciences “Image and Lidar Sensor Technology and Application for NDE” aims to cover recent advances in the development of any sensor technology, methods, and algorithms for Non-Destructive Evaluation (NDE).
Image and LiDAR sensor technology and application for NDE is an engineering approach and technology for examining the properties of a structure or system, without causing damage. The image-based NDE techniques (such as visual, optical, electromagnetics, ultrasonic, and thermal methods) have contributed to ground-breaking improvements in safety in many industrial areas.
To develop NDE technology, various integrated technologies, such as advanced sensors, data measurement technology, and data processing method have been studied in combination, in order to evaluate the condition of the structures and machinery.
In addition, since photogrammetry and LiDAR technologies are also undergoing great expansion and development in civil engineering, we are also interested in new methods, and algorithms for data processing. LiDAR is now a reality that is going to change the paradigm of NDE technology.
And even now there have been a growing number of new NDE solutions that provide artificial intelligence, machine learning, and computer vision-based techniques. We invite you to submit original research papers or technical or review articles to this Special Collection, with emphasis on novel and emerging technologies for non-destructive evaluation techniques.
Potential topics include, but are not limited to, the following:
- Non-destructive evaluation and structural health monitoring
- Image and LiDAR Data processing and method for NDE
- Data analysis for non-destructive evaluation
- Advanced signal processing, data mining, and data fusion
- Artificial intelligence and machine learning application for NDE
- Computer vision-based NDE
Dr. Taekeun Oh
Guest Editor
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- non-destructive evaluation
- structural health monitoring
- LiDAR
- laser scanning
- photogrammetry
- artificial intelligence
- machine learning
- Internet of things
- intelligent health diagnosis
