2021/07/04 by Anish Bhattacharya, Bhattacharya, Anish
Computer Science · Engineering · #FOS: Computer and information sciences #Guidance and Control Systems #Robotic Path Planning Algorithms #Robotics (cs.RO) #Robotics and Sensor-Based Localization
paper · pdf · doi:10.48550/arxiv.2107.01733
openalex publication_date 2021/07/04 · openalex created_date 2021/07/19 · openalex updated_date 2026/07/28
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.