Abstract
A new laser vision system is proposed for the navigation of mobile robots in pipe environments. This paper mainly focuses on forward recognition of individual T-junctions and elbow pipes to prevent the robots from becoming stuck in pipes. We propose to mount weaving 2-D laser scanners on robots to obtain selective 3-D front-pipe maps. Recognition of T-junctions requires 3-D maps for pipe wall on wheel sides, whereas recognition of elbow pipes requires full-forward 3-D maps. From these selective forward 3-D maps, algorithms for recognition of T-junctions and elbow pipes were developed, utilizing the mathematical approach to describe the pipeline structures. The practicality of the proposed algorithms was validated for several pipe environments, including T-junction, single elbow pipe, and the latter pipe of double elbow pipes.
| Original language | English |
|---|---|
| Pages (from-to) | 2585-2591 |
| Number of pages | 7 |
| Journal | IEEE Sensors Journal |
| Volume | 18 |
| Issue number | 6 |
| DOIs | |
| State | Published - 2018.03.15 |
Keywords
- autonomous robotics
- elbow pipe
- LADAR
- LiDAR
- nondestructive testing
- pipe inspection
- T-junction
- Two-dimensional laser scanner
Fingerprint
Dive into the research topics of 'Weaving Laser Vision System for Navigation of Mobile Robots in Pipeline Structures'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver