An Intelligent Evaluation Method of Application Scenario Complexity Level of Unmanned Swarms

With the development of intellectualization and collectivization of unmanned systems, more and more institutions and scholars pay attention to the research of intelligent unmanned swarm system, and the evaluation of intelligence level of unmanned swarm systems becomes a new research problem. Scenario complexity is an important evaluation aspect to scientifically quantify the intelligence level of unmanned swarms. This paper proposes a generic three-dimensional intelligence level evaluation model for unmanned swarms. Then it mainly establishes the metrics of scenario complexity for urban search applications, and introduced an evaluation method of scenario complexity level based on Self-Organizing Fuzzy Neural Network(SOFNN). Experiment results show that this intelligent method can achieve good application effect in evaluating scenario complexity level for urban search by UAV swarms.