In order to solve the problem of slow convergence rate in traditional antcolonyalgorithm for UAV path planning,a new cellular antcolonyalgorithm is ***,we construct a sector prediction area in grid environment ***...
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In order to solve the problem of slow convergence rate in traditional antcolonyalgorithm for UAV path planning,a new cellular antcolonyalgorithm is ***,we construct a sector prediction area in grid environment *** we build heuristic and obstacle repulsion functions of target nodes in the prediction *** these functions,we can get the bayesian conditional probability and posterior estimation of target *** the end,we select the node with the largest posterior estimation as the next path *** simulation results show that the new algorithm has better global search ***,using the sector prediction area makes the planned path more consistent with the UAV flight *** the designed functions in the sector prediction area speeds up the path search process.
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