Multiple UAVs collision avoidance trajectory coordination using distributed receding horizon optimization
To the problem of multiple UAVs collision avoidance trajectory coordination in the same aerial space, a distributed receding horizon optimization model was established. Then, a state prediction based trajectory coordination algorithm was presented. Several simulation results show that our method can...
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| creator | Hui Peng Menglan Huo Yihui He Zhizhong Liu |
| description | To the problem of multiple UAVs collision avoidance trajectory coordination in the same aerial space, a distributed receding horizon optimization model was established. Then, a state prediction based trajectory coordination algorithm was presented. Several simulation results show that our method can bring a within-network collision avoidance capability for multiple UAVs, and multiple UAVs can coordinate with each other effectively on condition that there are communication link between two conflict UAVs. |
| doi_str_mv | 10.1109/WCICA.2012.6359142 |
| format | Conference Proceeding |
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Then, a state prediction based trajectory coordination algorithm was presented. 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Several simulation results show that our method can bring a within-network collision avoidance capability for multiple UAVs, and multiple UAVs can coordinate with each other effectively on condition that there are communication link between two conflict UAVs.</description><subject>Collision avoidance</subject><subject>Distributed receding horizon optimization</subject><subject>Linear programming</subject><subject>Nickel</subject><subject>Optimization</subject><subject>Prediction algorithms</subject><subject>Trajectory</subject><subject>Trajectory coordination</subject><subject>UAV</subject><subject>Vehicles</subject><isbn>9781467313971</isbn><isbn>1467313971</isbn><isbn>1467313963</isbn><isbn>9781467313988</isbn><isbn>9781467313964</isbn><isbn>146731398X</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kMFOwzAQRI0QElD6A3DJDzR4bceOj1UFFKmIC4VjlTgb2CqNK9tFar-eFMpeVjPztNIsY7fAcwBu7z9mz7NpLjiIXMvCghJn7BqUNhKk1fKcja0p_7WBSzaOcc2HKaFUgl8xetl1ibYdZsvpe8yc7zqK5Pus-vbUVL3DLIVqjS75sB9iHxrqq3QkdpH6z6yhmALVu4RNFtBhczS_fKDDgPhtog0dfvkbdtFWXcTxaY_Y8vHhbTafLF6fhhKLCYEp0sRw2_JaILdaoJPGyNrWorBGSVCgJPICnKxBGF5qZZy2qOuyxdZK5Zx2csTu_u4SIq62gTZV2K9O35E_P-latg</recordid><startdate>201207</startdate><enddate>201207</enddate><creator>Hui Peng</creator><creator>Menglan Huo</creator><creator>Yihui He</creator><creator>Zhizhong Liu</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201207</creationdate><title>Multiple UAVs collision avoidance trajectory coordination using distributed receding horizon optimization</title><author>Hui Peng ; Menglan Huo ; Yihui He ; Zhizhong Liu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-709f0b2e0962ec3773b9b25974314143e051c3b12708647c69e6b8fef934cc6c3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Collision avoidance</topic><topic>Distributed receding horizon optimization</topic><topic>Linear programming</topic><topic>Nickel</topic><topic>Optimization</topic><topic>Prediction algorithms</topic><topic>Trajectory</topic><topic>Trajectory coordination</topic><topic>UAV</topic><topic>Vehicles</topic><toplevel>online_resources</toplevel><creatorcontrib>Hui Peng</creatorcontrib><creatorcontrib>Menglan Huo</creatorcontrib><creatorcontrib>Yihui He</creatorcontrib><creatorcontrib>Zhizhong Liu</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Hui Peng</au><au>Menglan Huo</au><au>Yihui He</au><au>Zhizhong Liu</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Multiple UAVs collision avoidance trajectory coordination using distributed receding horizon optimization</atitle><btitle>Proceedings of the 10th World Congress on Intelligent Control and Automation</btitle><stitle>WCICA</stitle><date>2012-07</date><risdate>2012</risdate><spage>3999</spage><epage>4003</epage><pages>3999-4003</pages><isbn>9781467313971</isbn><isbn>1467313971</isbn><eisbn>1467313963</eisbn><eisbn>9781467313988</eisbn><eisbn>9781467313964</eisbn><eisbn>146731398X</eisbn><abstract>To the problem of multiple UAVs collision avoidance trajectory coordination in the same aerial space, a distributed receding horizon optimization model was established. Then, a state prediction based trajectory coordination algorithm was presented. Several simulation results show that our method can bring a within-network collision avoidance capability for multiple UAVs, and multiple UAVs can coordinate with each other effectively on condition that there are communication link between two conflict UAVs.</abstract><pub>IEEE</pub><doi>10.1109/WCICA.2012.6359142</doi><tpages>5</tpages></addata></record> |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Collision avoidance Distributed receding horizon optimization Linear programming Nickel Optimization Prediction algorithms Trajectory Trajectory coordination UAV Vehicles |
| title | Multiple UAVs collision avoidance trajectory coordination using distributed receding horizon optimization |
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