Development and Application Research of Cruise Ship Intelligent Navigation System Introducing Artificial Potential Field Method
摘要
Currently, large cruise ship cabins have more than ten floors and complex routes, and traditional paper maps cannot meet the real-time navigation needs inside the cruise ship. Therefore, the study introduces the Artificial Potential Field (APF) method and the A * algorithm to construct a hybrid enhancement algorithm for path planning in cruise intelligent navigation systems. The experimental results show that the proposed intelligent navigation system can adapt to complex environments, with a positioning error of less than 1 m and a response time of less than 0.6s in the case of multiple target point changes. In the case of increasing obstacles, the proposed model has 2965 search grids, a path length of 143.6 m, and a search time of 0.45 s. The experimental results indicate that the proposed intelligent cruise navigation system has good application prospects in guiding tourists to find their way and strengthening cruise tourist management.