Research on rapid update of highly automated driving map based on intelligent roadside system
This article proposes a method for achieving high-precision map change detection and update,aimed at addressing the key issue of achieving autonomous driving-high-precision maps and their fast update capabilities.The aim is to solve the problems of high update costs and long cycles(quarterly updates)currently using professional collection vehicles.In the vehicle road cloud integration mode,the intelligent roadside system outputs real-time,stable,and high-precision sensor raw data and perception result data within the detection range,which can provide real-time map change information for complex urban intersections.Combined with the cloud platform,it can provide high-precision map source update services for vehicles.It is expected to achieve daily updates,even hourly and minute level updates,reducing the probability of manual takeover of autonomous vehicles caused by delayed updates,reducing violations of traffic regulations,and thus reducing safety risks.
NETL
NSTL
万方数据
