An Autonomous Robotic System for Ground Surface and Subsurface Imaging

Abdurrahman Yilmaz*, Osman Ervan, Hakan Temeltas, Ibrahim Akduman

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Imaging science attracts the attention of several researchers from different fields since it involves many application areas and subjects. Two noticeable issues are the imaging of the ground surface and subsurface in this field of science. In the literature, imaging systems are usually integrated into a mobile platform, and the imaging process is performed throughout the movement of the platform. In this study, the imaging system is deployed on an autonomous mobile platform with a skid-steering driving mode. Two main elements distinguish this mobile imaging system from others. The first is that the imaging system can simultaneously investigate the ground surface and subsurface. The latter advantage is that the mobile platform can work even in harsh outdoor conditions. The developed architecture has been tested both in the simulation environment and in the real world.

Original languageEnglish
Title of host publication8th International Conference on Engineering and Emerging Technologies, ICEET 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665491068
DOIs
Publication statusPublished - 2022
Event8th International Conference on Engineering and Emerging Technologies, ICEET 2022 - Kuala Lumpur, Malaysia
Duration: 27 Oct 202228 Oct 2022

Publication series

Name8th International Conference on Engineering and Emerging Technologies, ICEET 2022

Conference

Conference8th International Conference on Engineering and Emerging Technologies, ICEET 2022
Country/TerritoryMalaysia
CityKuala Lumpur
Period27/10/2228/10/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • autonomous systems
  • ground surface imaging
  • mobile robots
  • subsurface imaging

Fingerprint

Dive into the research topics of 'An Autonomous Robotic System for Ground Surface and Subsurface Imaging'. Together they form a unique fingerprint.

Cite this