Radar-based collision avoidance on Unmanned Surface Vehicles (USV)
The development of a viable unmanned surface vehicles (USV) is gaining momentum due to its diverse military and commercial applications. The fundamental problem in USV design is to overcome the measurement uncertainty of the sensors attached to the USV in the marine environment. The aim of this...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2022
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/105061/1/p.wsediono.ieee.2023.Radar-Based_Collision_Avoidance_on_Unmanned_Surface_Vehicles_USV.pdf http://irep.iium.edu.my/105061/ https://ieeexplore.ieee.org/xpl/conhome/10072017/proceeding |
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| Summary: | The development of a viable unmanned surface
vehicles (USV) is gaining momentum due to its diverse military
and commercial applications. The fundamental problem in USV
design is to overcome the measurement uncertainty of the
sensors attached to the USV in the marine environment. The aim
of this research is to create a collision avoidance model based on
the ARPA radar with navigation information about the targets
position and path. Information about moving and approaching
targets is urgently needed to give USV more autonomy in
understanding their environment. This information can help
make an initial decision in the collision avoidance algorithm, as
shown in this study. The classification of targets is performed
based on radar plotting principle. Data of target’s CPA and the
distance of approaching target is then calculated. This way of
processing reduces the computational effort and gives more
reliable results. Despite some limitations, the results show that
the proposed method can be used as an alternative model for
avoiding collision with a target ship approaching own ship. |
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