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In recent years, there has been a growing interest in self-guided vessels, for a wide range of application domains such as scientific research, ocean resource exploration, transport and other. In this paper we explore one of the most critical components of autonomous vessels, intelligent transportation and motion planning, and propose an automatic collision avoidance methodology, applicable to both unmanned surface or underwater vessels operating on the sea surface, using Dynamic Visibility Graphs while respecting International Regulations for Preventing Collisions at Sea (known as COLREGS). The efficiency of the developed method is investigated and discussed through characteristic simulated experiments.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 4 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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