Optimal parking research based on path and power optimization

Auto-parking refers to the process of parking a car in a parking lot through autonomous planning and automatic driving, which is important to solve the problem of "difficult parking" in big cities. It is a major challenge for the autonomous vehicle industry to establish a universal automatic parking model and adapt it to different sizes of parking spaces and different models of vehicles. In this paper, the path optimization model and power optimization model are established based on reasonable assumptions, and applied to three parking scenarios: "parallel parking", "vertical parking" and "diagonal parking". At the same time, the optimal parking space planning model is established by combining it with specific parking scenarios. Finally, the planning path and the corresponding dynamics parameters of the whole process from the initial position to the target parking space are given in this paper. The innovation of this paper is that three different parking scenarios are summarized and combined with the actual situation of the parking lot with an optimized path and related dynamic parameters of the whole process of auto-parking.