» Articles » PMID: 36298265

The Use of Terrestrial and Maritime Autonomous Vehicles in Nonintrusive Object Inspection

Overview
Journal Sensors (Basel)
Publisher MDPI
Specialty Biotechnology
Date 2022 Oct 27
PMID 36298265
Authors
Affiliations
Soon will be listed here.
Abstract

Traditional nonintrusive object inspection methods are complex or extremely expensive to apply in certain cases, such as inspection of enormous objects, underwater or maritime inspection, an unobtrusive inspection of a crowded place, etc. With the latest advances in robotics, autonomous self-driving vehicles could be applied for this task. The present study is devoted to a review of the existing and novel technologies and methods of using autonomous self-driving vehicles for nonintrusive object inspection. Both terrestrial and maritime self-driving vehicles, their typical construction, sets of sensors, and software algorithms used for implementing self-driving motion were analyzed. The standard types of sensors used for nonintrusive object inspection in security checks at the control points, which could be successfully implemented at self-driving vehicles, along with typical areas of implementation of such vehicles, were reviewed, analyzed, and classified.

Citing Articles

A Review on the State of the Art in Copter Drones and Flight Control Systems.

Peksa J, Mamchur D Sensors (Basel). 2024; 24(11).

PMID: 38894139 PMC: 11174836. DOI: 10.3390/s24113349.

References
1.
Yeong D, Velasco-Hernandez G, Barry J, Walsh J . Sensor and Sensor Fusion Technology in Autonomous Vehicles: A Review. Sensors (Basel). 2021; 21(6). PMC: 8003231. DOI: 10.3390/s21062140. View

2.
Ranyal E, Sadhu A, Jain K . Road Condition Monitoring Using Smart Sensing and Artificial Intelligence: A Review. Sensors (Basel). 2022; 22(8). PMC: 9029655. DOI: 10.3390/s22083044. View

3.
Hussain M, Ali N, Hong J . Vision beyond the Field-of-View: A Collaborative Perception System to Improve Safety of Intelligent Cyber-Physical Systems. Sensors (Basel). 2022; 22(17). PMC: 9460724. DOI: 10.3390/s22176610. View

4.
Marzoughi A, Savkin A . Autonomous Navigation of a Team of Unmanned Surface Vehicles for Intercepting Intruders on a Region Boundary. Sensors (Basel). 2021; 21(1). PMC: 7795617. DOI: 10.3390/s21010297. View

5.
Capasso P, Cimmino L, Abate A, Bruno A, Cattaneo G . A PNU-Based Methodology to Improve the Reliability of Biometric Systems. Sensors (Basel). 2022; 22(16). PMC: 9414565. DOI: 10.3390/s22166074. View