Autonomous Mission of Multi-UAV for Optimal Area Coverage
This study proposes an entire hardware and software architecture from operator input to motor command for the autonomous area coverage mission using multiple unmanned aerial vehicles. Despite the rapid growth of commercial drone services, there are many limitations on operations, such as a low decis...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-04-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/7/2482 |
| _version_ | 1797538992024977408 |
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| author | Youkyung Hong Sunggoo Jung Suseong Kim Jihun Cha |
| author_facet | Youkyung Hong Sunggoo Jung Suseong Kim Jihun Cha |
| author_sort | Youkyung Hong |
| collection | DOAJ |
| description | This study proposes an entire hardware and software architecture from operator input to motor command for the autonomous area coverage mission using multiple unmanned aerial vehicles. Despite the rapid growth of commercial drone services, there are many limitations on operations, such as a low decision-making autonomy and the need for experienced operators to intervene in the whole process. For performing the area coverage mission more efficiently and autonomously, this study newly designs an optimization problem that allocates waypoints created to cover that area to unmanned aerial vehicles. With an optimized list of waypoints, unmanned aerial vehicles can fill the given areas with their footprints in a minimal amount of time and do not overlap each other during the mission. In addition, this study performs both various simulations for quantitative analysis and an outdoor experiment through real hardware implementation in order to verify the performance sufficiently. The methodologies developed in this study could be applied to endless applications using unmanned aerial vehicles equipped with mission-specific sensors. |
| first_indexed | 2024-03-10T12:39:03Z |
| format | Article |
| id | doaj.art-d1850a338ad0470aae2a3230f0ba6563 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T12:39:03Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-d1850a338ad0470aae2a3230f0ba65632023-11-21T14:04:57ZengMDPI AGSensors1424-82202021-04-01217248210.3390/s21072482Autonomous Mission of Multi-UAV for Optimal Area CoverageYoukyung Hong0Sunggoo Jung1Suseong Kim2Jihun Cha3Electronics and Telecommunications Research Institute (ETRI), Daejeon 34129, KoreaElectronics and Telecommunications Research Institute (ETRI), Daejeon 34129, KoreaElectronics and Telecommunications Research Institute (ETRI), Daejeon 34129, KoreaElectronics and Telecommunications Research Institute (ETRI), Daejeon 34129, KoreaThis study proposes an entire hardware and software architecture from operator input to motor command for the autonomous area coverage mission using multiple unmanned aerial vehicles. Despite the rapid growth of commercial drone services, there are many limitations on operations, such as a low decision-making autonomy and the need for experienced operators to intervene in the whole process. For performing the area coverage mission more efficiently and autonomously, this study newly designs an optimization problem that allocates waypoints created to cover that area to unmanned aerial vehicles. With an optimized list of waypoints, unmanned aerial vehicles can fill the given areas with their footprints in a minimal amount of time and do not overlap each other during the mission. In addition, this study performs both various simulations for quantitative analysis and an outdoor experiment through real hardware implementation in order to verify the performance sufficiently. The methodologies developed in this study could be applied to endless applications using unmanned aerial vehicles equipped with mission-specific sensors.https://www.mdpi.com/1424-8220/21/7/2482unmanned aerial vehiclemission planningarea coveragetask assignmentmixed integer linear programmingpath planning |
| spellingShingle | Youkyung Hong Sunggoo Jung Suseong Kim Jihun Cha Autonomous Mission of Multi-UAV for Optimal Area Coverage Sensors unmanned aerial vehicle mission planning area coverage task assignment mixed integer linear programming path planning |
| title | Autonomous Mission of Multi-UAV for Optimal Area Coverage |
| title_full | Autonomous Mission of Multi-UAV for Optimal Area Coverage |
| title_fullStr | Autonomous Mission of Multi-UAV for Optimal Area Coverage |
| title_full_unstemmed | Autonomous Mission of Multi-UAV for Optimal Area Coverage |
| title_short | Autonomous Mission of Multi-UAV for Optimal Area Coverage |
| title_sort | autonomous mission of multi uav for optimal area coverage |
| topic | unmanned aerial vehicle mission planning area coverage task assignment mixed integer linear programming path planning |
| url | https://www.mdpi.com/1424-8220/21/7/2482 |
| work_keys_str_mv | AT youkyunghong autonomousmissionofmultiuavforoptimalareacoverage AT sunggoojung autonomousmissionofmultiuavforoptimalareacoverage AT suseongkim autonomousmissionofmultiuavforoptimalareacoverage AT jihuncha autonomousmissionofmultiuavforoptimalareacoverage |