Potential field method for persistent surveillance of multiple unmanned aerial vehicle sensors
Persistent surveillance is one of the major tasks envisioned for unmanned aerial vehicles in that some regions of interest need to be continuously surveyed. This distinction from the one-time coverage/exploration does not allow a straightforward application of the most exploration techniques to addr...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2018-01-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147718755069 |
| _version_ | 1797716740683071488 |
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| author | Changxin Huang Wei Li Chao Xiao Binbin Liang Songchen Han |
| author_facet | Changxin Huang Wei Li Chao Xiao Binbin Liang Songchen Han |
| author_sort | Changxin Huang |
| collection | DOAJ |
| description | Persistent surveillance is one of the major tasks envisioned for unmanned aerial vehicles in that some regions of interest need to be continuously surveyed. This distinction from the one-time coverage/exploration does not allow a straightforward application of the most exploration techniques to address the persistent surveillance problem. This article introduces and demonstrates a method of alterable artificial potential field to control a group of unmanned aerial vehicles to stay over the region of interest. We present attractive potential field to drive the unmanned aerial vehicles to desirable areas, obstacle potential field to move away from obstacles, collision avoidance potential field to control unmanned aerial vehicles not to collide with others, and formation of potential field to make unmanned aerial vehicles gather in a group. The simulation results show that the proposed approach could generate collision-free path for unmanned aerial vehicles staying over the region of interest for a long endurance. |
| first_indexed | 2024-03-12T08:26:03Z |
| format | Article |
| id | doaj.art-a0ec919f4a3b4d6ba212466fba05b585 |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2024-03-12T08:26:03Z |
| publishDate | 2018-01-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-a0ec919f4a3b4d6ba212466fba05b5852023-09-02T18:06:03ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772018-01-011410.1177/1550147718755069Potential field method for persistent surveillance of multiple unmanned aerial vehicle sensorsChangxin Huang0Wei Li1Chao Xiao2Binbin Liang3Songchen Han4School of Aeronautics and Astronautics, Sichuan University, Chengdu, ChinaSchool of Aeronautics and Astronautics, Sichuan University, Chengdu, ChinaCollege of Optoelectronic Technology, Chengdu University of Information Technology, Chengdu, ChinaSchool of Aeronautics and Astronautics, Sichuan University, Chengdu, ChinaSchool of Aeronautics and Astronautics, Sichuan University, Chengdu, ChinaPersistent surveillance is one of the major tasks envisioned for unmanned aerial vehicles in that some regions of interest need to be continuously surveyed. This distinction from the one-time coverage/exploration does not allow a straightforward application of the most exploration techniques to address the persistent surveillance problem. This article introduces and demonstrates a method of alterable artificial potential field to control a group of unmanned aerial vehicles to stay over the region of interest. We present attractive potential field to drive the unmanned aerial vehicles to desirable areas, obstacle potential field to move away from obstacles, collision avoidance potential field to control unmanned aerial vehicles not to collide with others, and formation of potential field to make unmanned aerial vehicles gather in a group. The simulation results show that the proposed approach could generate collision-free path for unmanned aerial vehicles staying over the region of interest for a long endurance.https://doi.org/10.1177/1550147718755069 |
| spellingShingle | Changxin Huang Wei Li Chao Xiao Binbin Liang Songchen Han Potential field method for persistent surveillance of multiple unmanned aerial vehicle sensors International Journal of Distributed Sensor Networks |
| title | Potential field method for persistent surveillance of multiple unmanned aerial vehicle sensors |
| title_full | Potential field method for persistent surveillance of multiple unmanned aerial vehicle sensors |
| title_fullStr | Potential field method for persistent surveillance of multiple unmanned aerial vehicle sensors |
| title_full_unstemmed | Potential field method for persistent surveillance of multiple unmanned aerial vehicle sensors |
| title_short | Potential field method for persistent surveillance of multiple unmanned aerial vehicle sensors |
| title_sort | potential field method for persistent surveillance of multiple unmanned aerial vehicle sensors |
| url | https://doi.org/10.1177/1550147718755069 |
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