UAV search planning based on perceptual cue

Nowadays various unmanned aerial vehicles (UAV) have been popularly used to perform intelligence, surveillance and reconnaissance mission. In the practical application the search planning is kernel problem for UAV. This paper presents a UAV search planning algorithm based on perceptual cue, which uses the predicting information to plan the UAV search route. The predicting information shows the probability of the situation and can be used to find the optimization strategy to complete the UAV´s mission. The Monte Carlo simulation proves that this algorithm can promote the UAVsearch efficiency.