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Drone-Aided Border Surveillance with an Electrification Line Battery Charging System

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Abstract

This paper proposes to develop a drone-aided border surveillance system with electrification line battery charging systems (DABS-E). Currently, mobile and fixed border surveillance systems such as truck-mounted video recording units, agent portable surveillance units, aerostats, and fixed towers are often used to enhance the comprehensive situational awareness along the U.S. border lines. However, a few drawbacks of the existing systems include limited operating capability, blind spots, physical fatigue of field agents, and lack of fast-responding situational awareness capability. The use of drones and mobile technologies are an ideal way to overcome these issues in border patrol activities. Even though drones bring numerous technical advantages (i.e., short response time, being able to access dangerous areas, and no on-board pilot required) for the border patrol mission, a relatively short flight duration is the main concern for the full implementation for patrol at this time. Therefore, this paper proposes a new concept that is built on electrification line (E-line) systems to wirelessly charge drones during the flight to extend flight duration. As a result, extra power can be provided for drones without the need of landing, stopping or returning back to ground control centers. To accomplish our goal, this paper proposes an optimization model and algorithm to schedule drone flights for a DABS-E. Through a numerical example, this paper shows the feasibility of our proposed method and corresponding economic benefits.

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Authors and Affiliations

  1. Department of Industrial Engineering, University of Houston, Houston, TX, 77204, USA

    Seon Jin Kim & Gino J. Lim

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  1. Seon Jin Kim
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  2. Gino J. Lim
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Correspondence to Gino J. Lim.

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Kim, S.J., Lim, G.J. Drone-Aided Border Surveillance with an Electrification Line Battery Charging System. J Intell Robot Syst 92, 657–670 (2018). https://doi.org/10.1007/s10846-017-0767-3

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  • DOI: https://doi.org/10.1007/s10846-017-0767-3

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