ICUAS'17 Paper Abstract


Paper WeC3.3

Colorado, Julian (Pontificia Universidad Javeriana Bogota), Devia Pinzon, Carlos Andres (Pontificia Universidad Javeriana), Perez Cerquera, Manuel Ricardo (Pontificia Universidad Javeriana), Mondragón Bernal, Iván Fernando (Pontificia Universidad Javeriana), Mendez Chaves, Diego (Pontificia Universidad Javeriana), Parra, Carlos (Pontificia Universidad Javeriana)

Low-Altitude Autonomous Drone Navigation for Landmine Detection Purposes

Scheduled for presentation during the "Control Architecture - III" (WeC3), Wednesday, June 14, 2017, 17:20−17:40, Salon CD

2017 International Conference on Unmanned Aircraft Systems, June 13-16, 2017, Miami Marriott Biscayne Bay, Miami, FL,

This information is tentative and subject to change. Compiled on April 12, 2021

Keywords Control Architectures, Navigation, UAS Applications


This paper proposes an integrated system architecture composed by a custom-designed lightweight Ground Penetrating Radar (GPR) and a novel method for low-altitude autonomous flight called Backstepping+DAF. Simulations and experimental results are carried out to evaluate how steady flight is achieved by means of the proposed flight controller that consequently enables the GPR detection of buried objects with similar materials and morphology of real explosive landmines.



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