Real-Time UAV Autonomous Localization Based on Smartphone Sensors
Localization in GPS-denied environments has become a bottleneck problem for small unmanned aerial vehicles (UAVs). Smartphones equipped with multi-sensors and multi-core processors provide a choice advantage for small UAVs for their high integration and light weight. However, the built-in phone sens...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-11-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/18/12/4161 |
| _version_ | 1817993823774572544 |
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| author | Boxin Zhao Xiaolong Chen Xiaolin Zhao Jun Jiang Jiahua Wei |
| author_facet | Boxin Zhao Xiaolong Chen Xiaolin Zhao Jun Jiang Jiahua Wei |
| author_sort | Boxin Zhao |
| collection | DOAJ |
| description | Localization in GPS-denied environments has become a bottleneck problem for small unmanned aerial vehicles (UAVs). Smartphones equipped with multi-sensors and multi-core processors provide a choice advantage for small UAVs for their high integration and light weight. However, the built-in phone sensor has low accuracy and the phone storage and computing resources are limited, which make the traditional localization methods unable to be readily converted to smartphone-based ones. The paper aims at exploring the feasibility of the phone sensors, and presenting a real-time, less memory autonomous localization method based on the phone sensors, so that the combination of “small UAV+smartphone„ can operate in GPS-denied areas regardless of the overload problem. Indoor and outdoor flight experiments are carried out, respectively, based on an off-the-shelf smartphone and a XAircraft 650 quad-rotor platform. The results show that the precision performance of the phone sensors and real-time accurate localization in indoor environment is possible. |
| first_indexed | 2024-04-14T01:44:59Z |
| format | Article |
| id | doaj.art-564781a5466941648a05d49a0921f357 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-14T01:44:59Z |
| publishDate | 2018-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-564781a5466941648a05d49a0921f3572022-12-22T02:19:35ZengMDPI AGSensors1424-82202018-11-011812416110.3390/s18124161s18124161Real-Time UAV Autonomous Localization Based on Smartphone SensorsBoxin Zhao0Xiaolong Chen1Xiaolin Zhao2Jun Jiang3Jiahua Wei4Equipment management and UAV Engineering College, Air force Engineering University, Xi’an 710038, ChinaScience and Technology on Aircraft Control Laboratory, FACRI, Xi’an 710038, ChinaEquipment management and UAV Engineering College, Air force Engineering University, Xi’an 710038, ChinaEquipment management and UAV Engineering College, Air force Engineering University, Xi’an 710038, ChinaEquipment management and UAV Engineering College, Air force Engineering University, Xi’an 710038, ChinaLocalization in GPS-denied environments has become a bottleneck problem for small unmanned aerial vehicles (UAVs). Smartphones equipped with multi-sensors and multi-core processors provide a choice advantage for small UAVs for their high integration and light weight. However, the built-in phone sensor has low accuracy and the phone storage and computing resources are limited, which make the traditional localization methods unable to be readily converted to smartphone-based ones. The paper aims at exploring the feasibility of the phone sensors, and presenting a real-time, less memory autonomous localization method based on the phone sensors, so that the combination of “small UAV+smartphone„ can operate in GPS-denied areas regardless of the overload problem. Indoor and outdoor flight experiments are carried out, respectively, based on an off-the-shelf smartphone and a XAircraft 650 quad-rotor platform. The results show that the precision performance of the phone sensors and real-time accurate localization in indoor environment is possible.https://www.mdpi.com/1424-8220/18/12/4161smartphone sensorsUAV autonomous localizationmulti-sensor fusion |
| spellingShingle | Boxin Zhao Xiaolong Chen Xiaolin Zhao Jun Jiang Jiahua Wei Real-Time UAV Autonomous Localization Based on Smartphone Sensors Sensors smartphone sensors UAV autonomous localization multi-sensor fusion |
| title | Real-Time UAV Autonomous Localization Based on Smartphone Sensors |
| title_full | Real-Time UAV Autonomous Localization Based on Smartphone Sensors |
| title_fullStr | Real-Time UAV Autonomous Localization Based on Smartphone Sensors |
| title_full_unstemmed | Real-Time UAV Autonomous Localization Based on Smartphone Sensors |
| title_short | Real-Time UAV Autonomous Localization Based on Smartphone Sensors |
| title_sort | real time uav autonomous localization based on smartphone sensors |
| topic | smartphone sensors UAV autonomous localization multi-sensor fusion |
| url | https://www.mdpi.com/1424-8220/18/12/4161 |
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