A dynamic collision avoidance solution scheme of unmanned surface vessels based on proactive velocity obstacle and set-based guidance
This paper proposes a proactive velocity obstacle (PVO) method through pre-judging whether there are collision risks between an unmanned surface vessel (USV) and its obstacle vessels according to the predicted motion states of the USV by its motion mathematical model to optimize the collision avoida...
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| Published in | Ocean engineering Vol. 248; p. 110794 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
15.03.2022
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0029-8018 1873-5258 |
| DOI | 10.1016/j.oceaneng.2022.110794 |
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| Abstract | This paper proposes a proactive velocity obstacle (PVO) method through pre-judging whether there are collision risks between an unmanned surface vessel (USV) and its obstacle vessels according to the predicted motion states of the USV by its motion mathematical model to optimize the collision avoidance decision-making. Then integrating the proposed PVO method and the line of sight (LOS) algorithm into the set-based guidance (SBG) framework, we create a dynamic collision avoidance (DCA) solution scheme of USVs and carry out simulations in the cases of single vessel and multiple vessels encounter, respectively. The USV-DCA solution scheme can make the USV successfully avoid obstacle vessels while complying with the international regulations for preventing collisions at sea (COLREGs) and follow the desired path without collisions. The simulation results show that the USV-DCA solution scheme based on PVO and SBG can make USVs avert a series of small velocity changes and make a safer collision avoidance decision than the original SBG framework scheme in the multiple vessels encounter case, which verifies the effectiveness and superiority of our proposed USV-DCA solution scheme.
•Propose the PVO method to optimize the collision avoidance decision-making.•Create a USV-DCA solution scheme by integrating the PVO method and the LOS method into the SBG framework.•USV-DCA makes the USV avert a series of small velocity changes and makes a safer collision avoidance decision.•USV-DCA makes the USV follow the desired path without collision while complying with COLREGs. |
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| AbstractList | This paper proposes a proactive velocity obstacle (PVO) method through pre-judging whether there are collision risks between an unmanned surface vessel (USV) and its obstacle vessels according to the predicted motion states of the USV by its motion mathematical model to optimize the collision avoidance decision-making. Then integrating the proposed PVO method and the line of sight (LOS) algorithm into the set-based guidance (SBG) framework, we create a dynamic collision avoidance (DCA) solution scheme of USVs and carry out simulations in the cases of single vessel and multiple vessels encounter, respectively. The USV-DCA solution scheme can make the USV successfully avoid obstacle vessels while complying with the international regulations for preventing collisions at sea (COLREGs) and follow the desired path without collisions. The simulation results show that the USV-DCA solution scheme based on PVO and SBG can make USVs avert a series of small velocity changes and make a safer collision avoidance decision than the original SBG framework scheme in the multiple vessels encounter case, which verifies the effectiveness and superiority of our proposed USV-DCA solution scheme.
•Propose the PVO method to optimize the collision avoidance decision-making.•Create a USV-DCA solution scheme by integrating the PVO method and the LOS method into the SBG framework.•USV-DCA makes the USV avert a series of small velocity changes and makes a safer collision avoidance decision.•USV-DCA makes the USV follow the desired path without collision while complying with COLREGs. |
| ArticleNumber | 110794 |
| Author | Jialu, Du Yihan, Tao Wenming, Wang |
| Author_xml | – sequence: 1 givenname: Wang surname: Wenming fullname: Wenming, Wang organization: School of Marine Engineering, Dalian Maritime University, Dalian, 116000, China – sequence: 2 givenname: Du orcidid: 0000-0002-8308-040X surname: Jialu fullname: Jialu, Du email: dujl66@163.com organization: School of Marine Electrical Engineering, Dalian Maritime University, Dalian, 116000, China – sequence: 3 givenname: Tao orcidid: 0000-0002-8717-9933 surname: Yihan fullname: Yihan, Tao organization: School of Marine Electrical Engineering, Dalian Maritime University, Dalian, 116000, China |
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| Cites_doi | 10.1016/j.neucom.2015.12.028 10.1109/JOE.2013.2254214 10.1016/j.oceaneng.2018.10.008 10.1177/027836499801700706 10.1007/s40815-018-0586-0 10.1177/027836498600500106 10.1016/j.oceaneng.2009.10.004 10.1017/S0373463320000284 10.1109/100.580977 10.1016/j.ifacol.2016.10.344 |
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| Keywords | COLREGs LOS method Set-based guidance Unmanned surface vessel Proactive velocity obstacle Dynamic collision avoidance |
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| SubjectTerms | COLREGs Dynamic collision avoidance LOS method Proactive velocity obstacle Set-based guidance Unmanned surface vessel |
| Title | A dynamic collision avoidance solution scheme of unmanned surface vessels based on proactive velocity obstacle and set-based guidance |
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