Evaluation of a Low-Power Computer Vision-Based Positioning System for a Handheld Landmine Detector Using AprilTag Markers
A positioning system employing visual fiducial markers (AprilTags) has been implemented for use with handheld mine detection equipment. To be suitable for a battery-powered real-time application, the system has been designed to operate at low power (<100 mW) and frame rates between 30 and 50 fps. The system has been integrated into an experimental dual-mode detector system. Position-indexed metal detector and ground-penetrating radar data from laboratory and field trials are presented. The accuracy and precision of the vision-based system are found to be 1.2 cm and 0.5 cm, respectively.
Authors
- Anthony Peyton (ORCID: https://orcid.org/0000-0002-5740-348X)
- Adam Fletcher (ORCID: https://orcid.org/0000-0002-2285-2090)
- E Cheadle
- Frank Podd (ORCID: https://orcid.org/0000-0002-5228-4602)
- Daniel Conniffe (ORCID: https://orcid.org/0000-0003-2683-4903)
- John L. Davidson (ORCID: https://orcid.org/0000-0002-9386-4611)
Institutions
- University of Manchester (GB)
Publication Details
- Journal
- Instruments
- Published
- 2025-11-07
- DOI
- https://doi.org/10.3390/instruments9040027
- Primary Topic
- Geophysical Methods and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00