基于5G+AI的自主泊车系统研究

Research on AVP system based on 5G+AI

自主泊车作为未来智能网联汽车的重要应用之一,旨在解决城市停车难问题。首先,概述了自主泊车系统的背景及概念,重点介绍了基于车场融合技术路线的系统架构;然后,详细阐述了基于5G+AI的自主泊车系统架构和关键技术,包括协同感知、协同定位、协同规划和协同控制。自主泊车系统减少了车端成本和安全风险,加速了泊车服务的落地,为车路协同自主代客泊车系统建设及场景示范推广提供了一定的示范和参考。

As one of the important applications of intelligent connected vehicles in the future,Automated Valet Parking(AVP)aims to solve the problem of difficult parking in cities.This paper first summarizes the background and concept of the AVP system,focusing on the system architecture based on the cooperative vehicle infrastructure system.Then,this paper elaborates on the architecture and key technologies of the AVP system based on 5G+AI,including collaborative perception,collaborative positioning,collaborative planning,and collaborative control.The AVP system reduces the cost and safety risks of the vehicle,accelerates the implementation of parking services,and provides certain demonstration and reference for the construction and scene demonstration promotion of the AVP system for vehicle-road coordination.