ICUAS 2021 Paper Abstract

Close

Paper FrA1.2

Anastasiou, Andreas (University of Cyprus), Makrigiorgis, Rafael (University of Cyprus), Kolios, Panayiotis (University of Cyprus), Panayiotou, Christos (University of Cyprus)

Hyperion: A Robust Drone-Based Target Tracking System

Scheduled for presentation during the Regular Session "Autonomy I" (FrA1), Friday, June 18, 2021, 09:20−09:40, Macedonia Hall

2021 International Conference on Unmanned Aircraft Systems (ICUAS), June 15-18, 2021, Athens, Greece

This information is tentative and subject to change. Compiled on March 28, 2024

Keywords Autonomy, Integration, UAS Testbeds

Abstract

Recent advances in mobile computing and embedded systems have had a transformative impact in the field of Unmanned Aircraft Systems (UASs). These advances have unlocked a great number of new capabilities ranging from realtime machine learning for detection and tracking of targets, and autonomous intelligent control for mission-critical trajectory planning. This paper introduces Hyperion, a robust detect, track and follow algorithm for UASs, leveraging and integrating various computer vision techniques and a combination of two proportional integral derivative (PID) controllers for following a moving vehicle. The proposed system is evaluated under real settings using off-the-shelf hardware and an elaborated comparison is made with a variety of state-of-the-art trackers available in the OpenCV library.

 

 

All Content © PaperCept, Inc.

This site is protected by copyright and trademark laws under US and International law.
All rights reserved. © 2002-2024 PaperCept, Inc.
Page generated 2024-03-28  09:52:29 PST  Terms of use