Quadcopter altitude estimation using low-cost barometric, infrared, ultrasonic and LIDAR sensors

The goal of this research is to assess the different low-cost sensors for flight altitude measuring of a multirotor UAV at low altitude flight. For optimizing the sensor performances and accuracy, data filtering and other methods were applied. The flight altitude data were collected and stored for l...

Full description

Bibliographic Details
Main Authors: Ranđelović Dušan M., Vorotović Goran S., Bengin Aleksandar Č., Petrović Pavle N.
Format: Article
Language:English
Published: University of Belgrade - Faculty of Mechanical Engineering, Belgrade 2021-01-01
Series:FME Transactions
Subjects:
Online Access:https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2021/1451-20922101021R.pdf
id doaj-7c03c39972c94eda8430f33e91f9abdf
record_format Article
spelling doaj-7c03c39972c94eda8430f33e91f9abdf2021-01-24T11:13:18ZengUniversity of Belgrade - Faculty of Mechanical Engineering, BelgradeFME Transactions1451-20922406-128X2021-01-0149121281451-20922101021RQuadcopter altitude estimation using low-cost barometric, infrared, ultrasonic and LIDAR sensorsRanđelović Dušan M.0Vorotović Goran S.1Bengin Aleksandar Č.2https://orcid.org/0000-0002-9225-8601Petrović Pavle N.3University of Belgrade, Faculty of Mechanical, Belgrade, Engineering, SerbiaUniversity of Belgrade, Faculty of Mechanical, Belgrade, Engineering, SerbiaUniversity of Belgrade, Faculty of Mechanical, Belgrade, Engineering, SerbiaUniversity of Belgrade, Faculty of Mechanical, Belgrade, Engineering, SerbiaThe goal of this research is to assess the different low-cost sensors for flight altitude measuring of a multirotor UAV at low altitude flight. For optimizing the sensor performances and accuracy, data filtering and other methods were applied. The flight altitude data were collected and stored for later analysis with reference to the true altitude. The correlation coefficient and the mean squared error were calculated in order to assess the sensors' performance. On the basis of the results of the study, it was possible to determine the choice of the adequate sensor for this specific use. The study showed that the best characteristics for this experiment conditions had the Garmin LIDAR-Lite V3HP sensor and the Bosch Sensortech BME280 that combined air humidity, atmospheric pressure, and air temperature sensor.https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2021/1451-20922101021R.pdfultrasonicinfraredbarometerlidaruav altitude estimation
collection DOAJ
language English
format Article
sources DOAJ
author Ranđelović Dušan M.
Vorotović Goran S.
Bengin Aleksandar Č.
Petrović Pavle N.
spellingShingle Ranđelović Dušan M.
Vorotović Goran S.
Bengin Aleksandar Č.
Petrović Pavle N.
Quadcopter altitude estimation using low-cost barometric, infrared, ultrasonic and LIDAR sensors
FME Transactions
ultrasonic
infrared
barometer
lidar
uav altitude estimation
author_facet Ranđelović Dušan M.
Vorotović Goran S.
Bengin Aleksandar Č.
Petrović Pavle N.
author_sort Ranđelović Dušan M.
title Quadcopter altitude estimation using low-cost barometric, infrared, ultrasonic and LIDAR sensors
title_short Quadcopter altitude estimation using low-cost barometric, infrared, ultrasonic and LIDAR sensors
title_full Quadcopter altitude estimation using low-cost barometric, infrared, ultrasonic and LIDAR sensors
title_fullStr Quadcopter altitude estimation using low-cost barometric, infrared, ultrasonic and LIDAR sensors
title_full_unstemmed Quadcopter altitude estimation using low-cost barometric, infrared, ultrasonic and LIDAR sensors
title_sort quadcopter altitude estimation using low-cost barometric, infrared, ultrasonic and lidar sensors
publisher University of Belgrade - Faculty of Mechanical Engineering, Belgrade
series FME Transactions
issn 1451-2092
2406-128X
publishDate 2021-01-01
description The goal of this research is to assess the different low-cost sensors for flight altitude measuring of a multirotor UAV at low altitude flight. For optimizing the sensor performances and accuracy, data filtering and other methods were applied. The flight altitude data were collected and stored for later analysis with reference to the true altitude. The correlation coefficient and the mean squared error were calculated in order to assess the sensors' performance. On the basis of the results of the study, it was possible to determine the choice of the adequate sensor for this specific use. The study showed that the best characteristics for this experiment conditions had the Garmin LIDAR-Lite V3HP sensor and the Bosch Sensortech BME280 that combined air humidity, atmospheric pressure, and air temperature sensor.
topic ultrasonic
infrared
barometer
lidar
uav altitude estimation
url https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2021/1451-20922101021R.pdf
work_keys_str_mv AT ranđelovicdusanm quadcopteraltitudeestimationusinglowcostbarometricinfraredultrasonicandlidarsensors
AT vorotovicgorans quadcopteraltitudeestimationusinglowcostbarometricinfraredultrasonicandlidarsensors
AT benginaleksandarc quadcopteraltitudeestimationusinglowcostbarometricinfraredultrasonicandlidarsensors
AT petrovicpavlen quadcopteraltitudeestimationusinglowcostbarometricinfraredultrasonicandlidarsensors
_version_ 1724326536868265984