TY - JOUR
T1 - An integrated aerial system for landmine detection
T2 - SDR-based Ground Penetrating Radar onboard an autonomous drone
AU - Colorado, J.
AU - Perez, M.
AU - Mondragon, I.
AU - Mendez, D.
AU - Parra, C.
AU - Devia, C.
AU - Martinez-Moritz, J.
AU - Neira, L.
N1 - Publisher Copyright:
© 2017 Taylor & Francis and The Robotics Society of Japan.
PY - 2017/8/3
Y1 - 2017/8/3
N2 - This paper presents an approach for explosive-landmine detection by designing, developing and integrating a Ground Penetrating Radar (GPR) onboard an autonomous aerial drone. Our goal is twofold: firstly, we have tackled the development of a custom-designed lightweight GPR by approaching an interplay between hardware and software radio. This technology is called Software- Defined Radio (SDR). Our SDR-based GPR system results on a much lighter sensing device compared against the conventional GPR systems found in the literature and with the capability of reconfiguration in real time. This means our system is capable of detecting landmines under terrains with different dielectric characteristics. Secondly,weintroduce the integration of the aforementioned SDR-based GPR into an autonomous drone. To this purpose, we have developed an accurate navigation flight control system based on optical laser technology that enables the drone to operate steady at the corresponding altitude over the ground (50 cm). To this purpose, we propose a novel nonlinear model-dependent control strategy for regulating the altitude (z) and the attitude of the drone (roll φ, pitch θ, yaw ψ) named backstepping+DAF. Experiments have been conducted aimed at characterizing how our SDR-based GPR system performs depending on different landmine morphology. Also, how steady flight is achieved by means of the proposed flight control system that consequently enhances the GPR performance. Results have shown that our SDR-based GPR system is able to detect buried landmines up to ∼20 cm of depth for semi-wet terrains (humidity about 70%), however, the artifact must cover an area >60 cm2 with at least 30% of thematerialmade ofmetal. By calculating ROC data, the accuracy of the GPR is above 80% under the tested scenarios.
AB - This paper presents an approach for explosive-landmine detection by designing, developing and integrating a Ground Penetrating Radar (GPR) onboard an autonomous aerial drone. Our goal is twofold: firstly, we have tackled the development of a custom-designed lightweight GPR by approaching an interplay between hardware and software radio. This technology is called Software- Defined Radio (SDR). Our SDR-based GPR system results on a much lighter sensing device compared against the conventional GPR systems found in the literature and with the capability of reconfiguration in real time. This means our system is capable of detecting landmines under terrains with different dielectric characteristics. Secondly,weintroduce the integration of the aforementioned SDR-based GPR into an autonomous drone. To this purpose, we have developed an accurate navigation flight control system based on optical laser technology that enables the drone to operate steady at the corresponding altitude over the ground (50 cm). To this purpose, we propose a novel nonlinear model-dependent control strategy for regulating the altitude (z) and the attitude of the drone (roll φ, pitch θ, yaw ψ) named backstepping+DAF. Experiments have been conducted aimed at characterizing how our SDR-based GPR system performs depending on different landmine morphology. Also, how steady flight is achieved by means of the proposed flight control system that consequently enhances the GPR performance. Results have shown that our SDR-based GPR system is able to detect buried landmines up to ∼20 cm of depth for semi-wet terrains (humidity about 70%), however, the artifact must cover an area >60 cm2 with at least 30% of thematerialmade ofmetal. By calculating ROC data, the accuracy of the GPR is above 80% under the tested scenarios.
KW - Aerial landmine detection
KW - Ground Penetrating Radar
KW - demining
KW - drone flight control
UR - http://www.scopus.com/inward/record.url?scp=85026520508&partnerID=8YFLogxK
U2 - 10.1080/01691864.2017.1351393
DO - 10.1080/01691864.2017.1351393
M3 - Article
AN - SCOPUS:85026520508
SN - 0169-1864
VL - 31
SP - 791
EP - 808
JO - Advanced Robotics
JF - Advanced Robotics
IS - 15
ER -