Abstract
Continuous facility maintenance is important to prevent accidents. Currently, the method of facility maintenance is dependent on visual inspection, which is labor-intensive, time-consuming and has a risk of casualties. In addition, the results of facility inspection can be different according to inspectors. In this paper, we propose an image-based inspection method, which measures location of points of interest using a smartphone image for effective facility maintenance. We performed georeferencing of smartphone images using pre-processed unmanned aerial vehicles (UAVs) reference images, not ground control points (GCPs). We then rectified the images using position of smartphone images derived from georeferencing onto a target plane of the facility. Experimental results show that the proposed approach has accuracies of 3.543 cm, 0.209° in the position of smartphone images and 9.829 cm in the location of points measured from images. We expect that this method can enhance utilization of image based facility maintenance.
| Original language | English |
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| State | Published - 2017 |
| Event | 38th Asian Conference on Remote Sensing - Space Applications: Touching Human Lives, ACRS 2017 - New Delhi, India Duration: 23 Oct 2017 → 27 Oct 2017 |
Conference
| Conference | 38th Asian Conference on Remote Sensing - Space Applications: Touching Human Lives, ACRS 2017 |
|---|---|
| Country/Territory | India |
| City | New Delhi |
| Period | 23/10/17 → 27/10/17 |
Keywords
- Geometric correction
- Image-based maintenance
- Reference images
- Smartphone images
- UAVs