Abstract
In the battlefield, UAV (Unmanned Aerial Vehicle) needs to assign tasks dynamically by using the radar tracking information, but when the poor weather comes, or UAV enters blind area, the radar cannot gather the accurate information which severely impair the assignment result. A new task assignment prediction method was proposed in this paper. We first predict the UAV information using UKF (Unscented Kalman Filter) algorithm, and then clear up the collision by auction algorithm. Finally, we assign the tasks. The results show that the algorithm performs better than greedy task assignment and consensus based auction algorithm.
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Chen, C., Qin, Z., Xing, Jk. (2010). Prediction Task Assignment of Multi-UAV Approach Based on Consensus. In: Zaman, M., Liang, Y., Siddiqui, S.M., Wang, T., Liu, V., Lu, C. (eds) E-business Technology and Strategy. CETS 2010. Communications in Computer and Information Science, vol 113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16397-5_17
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DOI: https://doi.org/10.1007/978-3-642-16397-5_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16396-8
Online ISBN: 978-3-642-16397-5
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