Multi-sensor system for mine detection

被引：0

作者：

Duvoisin, HA ^{[1
]}

Steinway, WJ ^{[1
]}

Tomassi, MS ^{[1
]}

Thomas, JE ^{[1
]}

Morris, C ^{[1
]}

Kahn, B ^{[1
]}

Stern, P ^{[1
]}

Krywick, S ^{[1
]}

Johnson, K ^{[1
]}

Dennis, K ^{[1
]}

Betts, G ^{[1
]}

Blood, B ^{[1
]}

Simoneaux, W ^{[1
]}

机构：

[1] Cole Res Corp, Orlando, FL 32819 USA

来源：

INFRARED TECHNOLOGY AND APPLICATIONS XXIV, PTS 1-2 | 1998年 / 3436卷

关键词：

mine detection; ground penetration radar (GPR); infrared camera (IR); mine detector;

D O I：

10.1117/12.328071

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A multi-sensor approach to buried object discrimination has been developed by Coleman Research Corporation (CRC) as a practical successor to currently prevalent metal detectors. The CRC multi-sensor unit integrates with and complements standard metal detectors to enable the detection of law-metallic and non-metallic anti-tank and anti-personnel mines as well as the older metallic-jacketed mines. The added sensors include Ground Penetration Radar (GPR) and Infrared (IR). The GPR consists of a lightweight (< 1 LB) snap on antenna unit, a belt attached electronics unit (< 5 LB) and batteries. The IR consists of a lightweight (<3 LB) head mounted camera, a heads-up virtual display, and a belt attached processing unit (Figure 1.1). The output from Automatic Target Recognition algorithms provide the detection of metallic and non-metallic mines in real-time on the IR display and as an audio alert from the GPR and MD.

引用

页码：705 / 716

页数：12

共 50 条

[31] Multi-sensor approach for people detection
Zhang, ZZ
Kodagoda, KRS
PROCEEDINGS OF THE 2005 INTELLIGENT SENSORS, SENSOR NETWORKS & INFORMATION PROCESSING CONFERENCE, 2005, : 355 - 360
[32] Deep Multi-Sensor Lane Detection
Bai, Min
Mattyus, Gellert
Homayounfar, Namdar
Wang, Shenlong
Lakshmikanth, Shrinidhi Kowshika
Urtasun, Raquel
2018 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2018, : 3102 - 3109
[33] Multi-sensor detection and fusion technique
Bhargave, Ashish
Arnbrose, Barry
Lin, Freddie
Kazantzidis, Manthos
MULTISENSOR, MULTISOURCE INFORMATION FUSION: ARCHITECTURES, ALGORITHMS, AND APPLICATIONS 2007, 2007, 6571
[34] Multi-Sensor Gradual Change Detection
Cao, Yang
Xie, Yao
2015 53RD ANNUAL ALLERTON CONFERENCE ON COMMUNICATION, CONTROL, AND COMPUTING (ALLERTON), 2015, : 827 - 834
[35] A multi-sensor approach to calving detection
Chang, Anita Z.
Swain, David L.
Trotter, Mark G.
INFORMATION PROCESSING IN AGRICULTURE, 2024, 11 (01): : 45 - 64
[36] A dataset for multi-sensor drone detection
Svanstrom, Fredrik
Alonso-Fernandez, Fernando
Englund, Cristofer
DATA IN BRIEF, 2021, 39
[37] Multi-sensor slope change detection
Cao, Yang
Xie, Yao
Gebraeel, Nagi
ANNALS OF OPERATIONS RESEARCH, 2018, 263 (1-2) : 163 - 189
[38] Multi-sensor slope change detection
Yang Cao
Yao Xie
Nagi Gebraeel
Annals of Operations Research, 2018, 263 : 163 - 189
[39] Correlation-Based Anomaly Detection Method for Multi-sensor System
Li, Han
Wang, Xinyu
Yang, Zhongguo
Ali, Sikandar
Tong, Ning
Baseer, Samad
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022
[40] A chemiluminescence-based multi-sensor system for the analytical detection of gases
Terakado, S
Namikoshi, K
Maruyama, T
Okabayashi, T
Yamamoto, I
Utsunomiya, K
Yamashita, N
Nakagawa, M
TRANSDUCERS '01: EUROSENSORS XV, DIGEST OF TECHNICAL PAPERS, VOLS 1 AND 2, 2001, : 1186 - 1189

← 1 2 3 4 5 →