Work

Evaluation of a Low-Power Computer Vision-Based Positioning System for a Handheld Landmine Detector Using AprilTag Markers

Year: 2025

Type: article

Abstract: 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.

Source: Instruments

DOI: 10.3390/instruments9040027

Authors: Adam D. Fletcher, Edward Cheadle, John Davidson, Daniel Conniffe, Frank Podd, Anthony J. Peyton

Institution: University of Manchester

Language: English

Topic: Robotics and Sensor-Based Localization

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,689

Funder: Sir Bobby Charlton Foundation