Mine detection using a polarimetric IR sensor

In this work we studied the fabrication of a monolithic bimaterial micro-cantilever resonant IR sensor with on-chip drive circuits. The effects of high temperature process and stress induced performance degradation were investigated. The post-CMOS MEMS (micro electro mechanical system) fabrication process of this IR sensor is the focus of this paper, starting from theoretical analysis and simulation, and then moving to experimental verification. The capacitive cantilever structure was fabricated by surface micromachining method, and drive circuits were prepared by standard CMOS process. While the stress introduced by MEMS films, such as the tensile silicon nitride which works as a contact etch stopper layer for MOSFETs and releasing stop layer for the MEMS structure, increases the electron mobility of NMOS, PMOS hole mobility decreases. Moreover, the NMOS threshold voltage (Vth) shifts, and transconductance (Gm) degrades. An additional step of selective removing silicon nitride capping layer and polysilicon layer upon IC area were inserted into the standard CMOS process to lower the stress in MOSFET channel regions. Selective removing silicon nitride and polysilicon before annealing can void 77% Vth shift and 86% Gm loss.

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The Effect of Informing Participants of the Response Bias of an Automated Target Recognition System on Trust and Reliance Behavior

Human Factors The Journal of the Human Factors and Ergonomics Society ◽

10.1177/00187208211021711 ◽

2021 ◽

pp. 001872082110217

Author(s):

Shala Knocton ◽

Aren Hunter ◽

Warren Connors ◽

Lori Dithurbide ◽

Heather F. Neyedli

Keyword(s):

Response Bias ◽

Target Recognition ◽

Rate Sensitivity ◽

High Sensitivity ◽

Recognition System ◽

Decision Criterion ◽

Detection Task ◽

Mine Detection ◽

Rate Condition ◽

Consistent Response

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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