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...
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University of Belgrade - Faculty of Mechanical Engineering, Belgrade
2021-01-01
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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 |
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