Autonomous Navigation System for a Delivery Drone
| Autor: | Thiago Lages Rocha, Victor R. F. Miranda, Adriano M. C. Rezende, Hector Azpurua, Luciano C. A. Pimenta, Gustavo Freitas |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Unmanned aerial vehicle delivery
FOS: Computer and information sciences Computer science Autonomous Navigation System Real-time computing Energy Engineering and Power Technology Context (language use) Systems and Control (eess.SY) Electrical Engineering and Systems Science - Systems and Control Article Computer Science - Robotics Software Inertial measurement unit FOS: Electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Path planning Vector field control business.industry Navigation system Drone Computer Science Applications Autonomous drones Control and Systems Engineering Localization Path (graph theory) Global Positioning System business Robotics (cs.RO) |
| Zdroj: | Journal of Control, Automation and Electrical Systems |
| DOI: | 10.48550/arxiv.2106.08878 |
| Popis: | The use of delivery services is an increasing trend worldwide, further enhanced by the COVID pandemic. In this context, drone delivery systems are of great interest as they may allow for faster and cheaper deliveries. This paper presents a navigation system that makes feasible the delivery of parcels with autonomous drones. The system generates a path between a start and a final point and controls the drone to follow this path based on its localization obtained through GPS, 9DoF IMU, and barometer. In the landing phase, information of poses estimated by a marker (ArUco) detection technique using a camera, ultra-wideband (UWB) devices, and the drone's software estimation are merged by utilizing an Extended Kalman Filter algorithm to improve the landing precision. A vector field-based method controls the drone to follow the desired path smoothly, reducing vibrations or harsh movements that could harm the transported parcel. Real experiments validate the delivery strategy and allow to evaluate the performance of the adopted techniques. Preliminary results state the viability of our proposal for autonomous drone delivery. Comment: 12 pages, 15 figures, extended version of an paper published at the XXIII Brazilian Congress of Automatica, entitled "Desenvolvimento de um drone aut\^onomo para tarefas de entrega de carga" |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|