Maxim Pavliv

Tracking and Relative Localization of Drone Swarms With a Vision-Based Headset

We address the detection, tracking, and relative localization of the agents of a drone swarm from a human perspective using a headset equipped with a single camera and an Inertial Measurement Unit (IMU). We train and deploy a deep neural network detector on image data to detect the drones. A joint p