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arXiv · 2005.04183

Stereo Vision for Unmanned Aerial VehicleDetection, Tracking, and Motion Control

Maria N. Brunet·Guilherme Aramizo Ribeiro·Nina Mahmoudian·Mo Rastgaar
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Abstract

An innovative method of detecting Unmanned Aerial Vehicles (UAVs) is presented. The goal of this study is to develop a robust setup for an autonomous multi-rotor hunter UAV, capable of visually detecting and tracking the intruder UAVs for real-time motion planning. The system consists of two parts: object detection using a stereo camera to generate 3D point cloud data and video tracking applying a Kalman filter for UAV motion modeling. After detection, the hunter can aim and shoot a tethered net at the intruder to neutralize it. The computer vision, motion tracking, and planning algorithms can be implemented on a portable computer installed on the hunter UAV.

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Maria N. Brunet, Guilherme Aramizo Ribeiro, Nina Mahmoudian, Mo Rastgaar. 2020-05-07. Stereo Vision for Unmanned Aerial VehicleDetection, Tracking, and Motion Control. https://arxiv.org/abs/2005.04183

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