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The Use of Terrestrial and Maritime Autonomous Vehicles in Nonintrusive Object Inspection
Dmytro Mamchur1,2, Janis Peksa3, Antons Kolodinskis1
1Information Technologies Department, Turiba University, Graudu Street 68, LV-1058 Riga, Latvia.
Sensors (Basel, Switzerland)
|October 27, 2022
Summary
Autonomous self-driving vehicles offer a cost-effective solution for nonintrusive object inspection in challenging environments. This review explores technologies and methods for applying these vehicles in terrestrial and maritime settings.
Area of Science:
- Robotics and Automation
- Sensor Technology
- Inspection and Monitoring
Background:
- Traditional nonintrusive object inspection methods face limitations in cost and complexity for large-scale, underwater, or crowded environments.
- Advances in robotics present autonomous self-driving vehicles (ASVs) as a viable alternative for these inspection challenges.
Purpose of the Study:
- To review existing and novel technologies for utilizing ASVs in nonintrusive object inspection.
- To analyze the application of both terrestrial and maritime ASVs for inspection tasks.
- To classify sensor types and implementation areas for ASVs in security and control points.
Main Methods:
- Analysis of terrestrial and maritime ASV construction and sensor configurations.
- Review of software algorithms for autonomous motion control in ASVs.
- Classification of standard nonintrusive inspection sensors suitable for ASV integration.
Main Results:
- Identified key sensor types and algorithms applicable to ASVs for nonintrusive inspection.
- Detailed the capabilities and limitations of current ASV technologies for inspection.
- Provided a classification of ASV applications in various inspection scenarios.
Conclusions:
- ASVs present a promising and adaptable solution for nonintrusive object inspection across diverse and challenging environments.
- Further integration of advanced sensors and AI algorithms will enhance ASV inspection capabilities.
- ASVs are poised to revolutionize security and monitoring through efficient, nonintrusive object inspection.
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