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.
Research on Cooperative Perception of MUSVs in Complex Ocean Conditions
Lili Yin,Rubo Zhang,Hengwen Gu,Peng-fei Li
Published 2021 in Italian National Conference on Sensors
ABSTRACT
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- Publication year
2021
- Venue
Italian National Conference on Sensors
- Publication date
2021-02-28
- Fields of study
Medicine, Computer Science, Engineering, Environmental Science
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
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