The invention belongs to the technical field of Internet of Vehicles, and particularly relates to a federated learning-based vehicle environment perception method, which comprises the following steps of: 1, establishing a model: starting to design a geographic perception model; 2, determining a cluster ID (Identity) by a geographic perception model; 3, the VFN selects a customer vehicle based on a DQN algorithm; 4, a client vehicle local training model is established; 5, aggregating the client local model to the VFN; and step 6, the models to which the VFNs of the same cluster ID belong are aggregated to a server, and in the step 2, based on the available GPS information of the VFNs, the map model can determine the cluster to which the map model belongs, and the map model depends on pre-constructed map data. The advanced federation learning strategy and the communication optimization strategy are adopted, the communication cost is reduced, the network burden is relieved, the environment perception model performance and the model accuracy are improved, and the real-time performance of the whole system is good especially in a high-density environment.
本发明属于车联网技术领域,具体涉及一种基于联邦学习的车辆环境感知方法,包括以下步骤:步骤一、建立模型:开始设计一个地理感知模型;步骤二:地理感知模型确定集群ID;步骤三:VFN基于DQN算法选择客户车辆;步骤四:客户车辆本地训练模型;步骤五:客户本地模型聚合到VFN;步骤六:相同集群ID的VFN所属模型聚合到服务器,步骤二中基于VFN可用的GPS信息,地图模型可以确定它属于的集群,其依赖于预先构建的地图数据。本发明采用先进的联邦学习策略和通信优化策略,有助于降低通信成本,减轻网络负担,提高环境感知模型性能和模型准确性,尤其是在高密度环境中,整个系统的实时性好。
Federal learning-based vehicle environment perception method
一种基于联邦学习的车辆环境感知方法
2024-09-03
Patent
Electronic Resource
Chinese
IPC: | H04W WIRELESS COMMUNICATION NETWORKS , Drahtlose Kommunikationsnetze / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / H04L TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION , Übertragung digitaler Information, z.B. Telegrafieverkehr |
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