Abstract
Cooperative target-searching of multiple Unmanned Aerial Vehicles (UAVs) in uncertainty environment is an important research area in multi-UAVs cooperative control. The objective of multi-UAVs searching is to obtain the information of the searched area, decrease the uncertainty of this area and find the hidden targets as fast as possible. This paper introduces a new framework for UAV search operations and proposes a new approach to solve multi-UAVs cooperative searching problem. Aimed at the characteristics of the multi-UAVs cooperative searching problem, the modified probability map based cooperative searching strategy was discussed in detail. Based on the existing algorithms, the cooperative strategy was divided into three key parts, which are probability map initialization, probability map updating and the rules of UAV transfer. The search effectiveness of the Multi-UAVs system in the condition of Multi-target was analyzed based on the method of ABMS (Agent Based Modeling and Simulation). Simulation results demonstrated the effectiveness of the algorithm.
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Huang, Q., Yao, J., Li, Q., Zhu, Y. (2016). Cooperative Searching Strategy for Multiple Unmanned Aerial Vehicles Based on Modified Probability Map. In: Zhang, L., Song, X., Wu, Y. (eds) Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems. AsiaSim SCS AutumnSim 2016 2016. Communications in Computer and Information Science, vol 644. Springer, Singapore. https://doi.org/10.1007/978-981-10-2666-9_27
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DOI: https://doi.org/10.1007/978-981-10-2666-9_27
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