The invention relates to the technical field of automatic driving, and discloses a vehicle-road collaborative data sensing method based on an edge computing gateway, and the technical scheme is characterized in that a collaborative sensing model based on edge computing is constructed; scheduling tasks in the collaborative sensing model based on edge calculation to obtain an optimal solution; determining the priority of automatic driving participating in cooperative sensing; determining a task target vehicle; resources of the automatic driving automobile can be better utilized, so that better cooperative perception can be obtained; the phenomenon that each self-driving automobile needs to independently process all sensed data is avoided. According to end-side cloud cooperation based on Q-learning, each vehicle can receive cloud/edge feedback to learn an optimal route, and intelligent cooperation is realized.
本发明涉及自动驾驶技术领域,公开了一种基于边缘计算网关的车路协同数据感知方法,其技术方案要点是构建基于边缘计算的协作感知模型;对基于边缘计算的协作感知模型中的任务进行调度,获得最优解;确定参与协作感知的自动驾驶的优先级;任务目标车辆的确定;更好地利用自动驾驶汽车的资源,以获得更好的协作感知;避免了每个自动驾驶汽车都需要单独处理所有感测到的数据的现象发生。基于Q‑learning的端边云协同,使每个车辆都可以接收云端/边缘反馈来学习最佳路线,实现智能协同。
Vehicle-road cooperation data sensing method based on edge computing gateway
一种基于边缘计算网关的车路协同数据感知方法
2024-10-11
Patent
Electronic Resource
Chinese
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