To improve the effect of intelligent terminal route planning, this paper proposes a route planning model combined with intelligent visual recognition algorithm. It is necessary to model the inspection environment route. In this paper, the matrix method is used to construct the map of inspection route for route planning, and the superiority of the improved algorithm in obstacle environment is verified by experiments. Through the simulation results, it can be seen that this algorithm is superior to other algorithms in both experimental environments, whether it is the worst solution, the optimal solution or the average solution. The experimental results show that the improved method has obvious advantages and can play a greater role in the future intelligent terminal work.

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Intelligent Terminal Route Planning Combined with Intelligent Visual Recognition Technology

  • Xiaobo Liu

摘要

To improve the effect of intelligent terminal route planning, this paper proposes a route planning model combined with intelligent visual recognition algorithm. It is necessary to model the inspection environment route. In this paper, the matrix method is used to construct the map of inspection route for route planning, and the superiority of the improved algorithm in obstacle environment is verified by experiments. Through the simulation results, it can be seen that this algorithm is superior to other algorithms in both experimental environments, whether it is the worst solution, the optimal solution or the average solution. The experimental results show that the improved method has obvious advantages and can play a greater role in the future intelligent terminal work.