ROJul 4, 2021

Toward Increased Airspace Safety: Quadrotor Guidance for Targeting Aerial Objects

arXiv:2107.01733v13 citations
Originality Incremental advance
AI Analysis

This work addresses airspace safety by providing a practical solution for removing unauthorized UAVs in domestic settings, though it appears incremental as it adapts existing guidance methods to quadrotors.

The paper tackles the problem of autonomously targeting aerial objects with a quadrotor using only an onboard monocular camera, drawing from missile guidance literature to develop an optimal method, and reports results on hit success and pursuit duration, including performance in a competition setting.

As the market for commercially available unmanned aerial vehicles (UAVs) booms, there is an increasing number of small, teleoperated or autonomous aircraft found in protected or sensitive airspace. Existing solutions for removal of these aircraft are either military-grade and too disruptive for domestic use, or compose of cumbersomely teleoperated counter-UAV vehicles that have proven ineffective in high-profile domestic cases. In this work, we examine the use of a quadrotor for autonomously targeting semi-stationary and moving aerial objects with little or no prior knowledge of the target's flight characteristics. Guidance and control commands are generated with information just from an onboard monocular camera. We draw inspiration from literature in missile guidance, and demonstrate an optimal guidance method implemented on a quadrotor but not usable by missiles. Results are presented for first-pass hit success and pursuit duration with various methods. Finally, we cover the CMU Team Tartan entry in the MBZIRC 2020 Challenge 1 competition, demonstrating the effectiveness of simple line-of-sight guidance methods in a structured competition setting.

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