<title>Analysis of sensor integration of the Integrated Ground Mobile Mine Detection Testbed (IGMMDT)</title>

Objective To determine how changing and informing a user of the false alarm (FA) rate of an automated target recognition (ATR) system affects the user’s trust in and reliance on the system and their performance during an underwater mine detection task. Background ATR systems are designed to operate using a high sensitivity and a liberal decision criterion to reduce the risk of the ATR system missing a target. A high number of FAs in general may lead to a decrease in operator trust and reliance. Methods Participants viewed sonar images and were asked to identify mines in the images. They performed the task without ATR and with ATR at a lower and higher FA rate. The participants were split into two groups—one informed and one uninformed of the changed FA rate. Trust and/or confidence in detecting mines was measured after each block. Results When not informed of the FA rate, the FA rate had a significant effect on the participants’ response bias. Participants had greater trust in the system and a more consistent response bias when informed of the FA rate. Sensitivity and confidence were not influenced by disclosure of the FA rate but were significantly worse for the high FA rate condition compared with performance without the ATR. Conclusion and application Informing a user of the FA rate of automation may positively influence the level of trust in and reliance on the aid.

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Land Mine Detection Using Rocker Bogie System

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/1057/1/012087 ◽

2021 ◽

Vol 1057 ◽

pp. 012087

Author(s):

Mahesh Kusuma ◽

K Arun Kumar ◽

G Vijay Goud ◽

A Harika Reddy

Keyword(s):

Mine Detection ◽

Land Mine ◽

Land Mine Detection

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Integrated Robotic systems for Humanitarian Demining

International Journal of Advanced Robotic Systems ◽

10.5772/5694 ◽

2007 ◽

Vol 4 (2) ◽

pp. 24 ◽

Cited By ~ 4

Author(s):

E. Colon ◽

G. De Cubber ◽

H. Ping ◽

J-C Habumuremyi ◽

H. Sahli ◽

...

Keyword(s):

Data Acquisition ◽

Lessons Learned ◽

Mine Detection ◽

Detection Systems ◽

Visual Positioning ◽

Humanitarian Demining ◽

Typical Data ◽

Terrain Following ◽

Software Interfaces ◽

Future Work

This paper summarises the main results of 10 years of research and development in Humanitarian Demining. The Hudem project focuses on mine detection systems and aims at provided different solutions to support the mine detection operations. Robots using different kind of locomotion systems have been designed and tested on dummy minefields. In order to control these robots, software interfaces, control algorithms, visual positioning and terrain following systems have also been developed. Typical data acquisition results obtained during trial campaigns with robots and data acquisition systems are reported. Lessons learned during the project and future work conclude this paper.

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