Research on vehicle path planning algorithm for intelligent garage based on deep learning

In this paper, a deep learning-based vehicle path planning algorithm for smart garages is proposed. Firstly, the research background of intelligent garage vehicle path planning and the importance of deep learning in this field are summarized, and the current status of related research is reviewed. Then, the basic principles of deep learning and its application in vehicle path planning are introduced, and the advantages and limitations of different types of deep learning models are analyzed. The design of the proposed algorithm is then elaborated in detail, including key steps such as data collection and preprocessing, as well as algorithmic framework construction. Through the experimental environment construction and performance evaluation, the method of this paper is compared and analyzed with other existing solutions. The experimental results show that the algorithm proposed in this paper has excellent performance in the vehicle path planning problem in smart garages. Finally, the research results are summarised, and directions for future improvement are discussed.