基于内容中心网络的无人自动驾驶方法

Unmanned Autonomous Driving Method Based on Content-centric Network

针对无人驾驶汽车获取的海量信息无法在无线网络中快速传输的问题,提出以内容中心网络为基础的无人自动驾驶方法。利用内容中心网络的Interest包和Data包向其他汽车或者基础设施发送和接收实时路况信息,当获取整体路况信息后结合用户需求制定相关行车路线,并在行车过程中通过实时交换行车计划及调整行车路线,实现安全自动驾驶。实验结果表明,与基于802.11通信的自动驾驶方法相比,该方法在满足用户需求的前提下,可大幅降低路况信息获取时间、丢包率及使用成本,同时提升无人驾驶系统的安全性。

Aiming at the problem that the existing wireless network can not transfer the massive amount of traffic information received by unmanned driving vehicles effectively,the unmanned autonomous driving method based on Content-centric Network（CCN）is proposed.It sends and receives real-time traffic information to other vehicles and the road infrastructure rapidly by using the Interest packet and Data packet of the CCN.After gathering the entire traffic information of the whole region,the path for the vehicle to the destination can be generated according to the user demand.And during the traveling to the destination,the paths are exchanged among the vehicles,and the route is adjusted according to the real-time generated traffic information,which is used to improve the safety of the driving.Experimental result shows that,compared with the autonomous driving method based on802.11 communication,the method can reduce the receiving time of traffic information,packet loss rate and cost,and improve the driving safety significantly.