AI Powered Unmanned Aerial Vehicle for Payload Transport Application
Type
Conference PaperKAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) DivisionElectrical Engineering
Electrical Engineering Program
Integrated Nanotechnology Lab
King Abdullah University of Science and Technology,mmh Labs, Computer, Elecctrical and Mathematical Sciences and Engineering Division,Thuwal,Saudi Arabia
KAUST Grant Number
OSR-2015-Sensors-2707OSR-2016-KKI-2880
Date
2020-04-10Permanent link to this record
http://hdl.handle.net/10754/662656
Metadata
Show full item recordAbstract
Recently unmanned aerial vehicles (UAV) have received a growing attention due to their wide range of applications. Here, we demonstrate UAVs with artificial intelligence (AI) capabilities for application in autonomous payload transport. An algorithm is developed for target detection with multiple phases on the ground, which once the target is detected, would trigger the release of the payload that is attached on the drone. The experimental results show that the average frame rate over x seconds achieved a 19.4010717352 fps (frame per second) detection speed. Releasing the payload is achieved using a 3D printed system based on rack and pinion gears. In addition, auto flight program is developed to enable the autonomous movement of the drone. As a proof-of-concept, a small drone known as "Phantom DJI" is used for.6 kg autonomous payload transport along a predefined route to a target location.Citation
Alshanbari, R., Khan, S., El-Atab, N., & Mustafa Hussain, M. (2019). AI Powered Unmanned Aerial Vehicle for Payload Transport Application. 2019 IEEE National Aerospace and Electronics Conference (NAECON). doi:10.1109/naecon46414.2019.9058320Sponsors
The work is supported by the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under Award No. Sensor Innovation Initiative OSR-2015-Sensors-2707 and KAUST-KFUPM Special Initiative OSR-2016-KKI-2880Conference/Event name
2019 IEEE National Aerospace and Electronics Conference, NAECON 2019ISBN
9781728114163Additional Links
https://ieeexplore.ieee.org/document/9058320/ae974a485f413a2113503eed53cd6c53
10.1109/NAECON46414.2019.9058320