| Autor: |
R M Levkivskyi, V G Sherstjuk, V N Gusev, I O Dorovskaja, I V Sokol, M V Zharikova |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
Artificial Intelligence. 25:71-85 |
| ISSN: |
2710-1673 |
| Popis: |
The paper addresses the use of heterogeneous ensembles of intelligent unmanned vehicles in such a perspective field of innovations as an unmanned fishery. The issues of joint activity of unmanned vehicles of different types in fishing operations based on intelligent technologies are investigated. The “smart fishing” approach based on the joint fishing operation model is proposed. The operational framework that includes missions, roles, and activity scenarios embedded in the discretized spatial model is presented. The scenario activities are considered as the sequences of pentad that determine executing specific functions concerning the specified waypoint, timepoints, and the states of vehicles. The definition of the plan as the scenario prototype that needs adjusting to the conditions of the situational context is proposed. The coordination problem regarding the joint activities of the unmanned vehicles and their scenarios is defined and the coordination framework based on the distributed common board model and coordination primitives is presented. The prototype of the intelligent scenario-based system including the implementation of both operational and coordination frameworks developed for the control of unmanned vehicles is described. This system makes unmanned vehicles capable to absorb all the latest advances in intelligent technologies to perform smart fishing operations jointly in a large heterogeneous group. The proposed approach to smart fishing using intelligent technologies makes it possible to detach fishermen from the fishing activities dangerous to their life and health, to reduce significantly poaching and illegal fishing, to increase the overall efficiency of fishing operations, and even to save the marine ecosystem. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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