Using Ontologies in Hybrid Software Agent Architectures

Leite, Ana Karine Rocha de Melo; Girardi, Rosario; Nováis, Paulo

doi:10.1109/wi-iat.2013.172

Cited by 2 publications

(1 citation statement)

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“…For example, USV diagnostic systems using ontologies can locate possible faults based on the signs and warnings provided by the sensing system [ 7 ]. The ontology semantic knowledge framework approach not only improves the cognitive capabilities of the unmanned system, but also enhances flexibility, autonomy, and robustness in performing tasks [ 8 ]. The semantic knowledge framework proposed by E. Migueláñez et al can detect and identify uncertain events such as task parameter changes and various sensor failures that occur in the task execution and system state of MUSVs [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

Research on Cooperative Perception of MUSVs in Complex Ocean Conditions

Yin

Zhang

2021

Sensors

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Since the working environment of Multiple Unmanned Surface Vehicles (MUSVs) is accompanied by a large number of uncertainties and various hazards, in order to ensure the collision avoidance capability of MUSVs in complex marine environments, the perception of complex marine environments by MUSVs is the first problem that needs to be solved. A cooperative perception framework with uncertain event detection, cooperative collision avoidance pattern recognition and environmental ontology model is proposed to realize the cooperative perception process of MUSVs using ontology and Bayesian network theory. The cooperative perception approach was validated by simulating experiments. Results show the effectiveness of cooperative perception approach.

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Section: Introductionmentioning

confidence: 99%