The invention provides an automatic driving model upgrading system, method and device, and relates to the technical field of computers, in particular to the technical field of automatic driving and intelligent traffic. According to the specific implementation scheme, in response to a received automatic driving abnormity message, a model upgrading task is created and issued to a vehicle group composed of idle intelligent vehicles, and the model upgrading task is composed of a plurality of sub-tasks, so that the idle intelligent vehicles respectively process different sub-tasks included in the model upgrading task; and summarizing the processing results of the sub-tasks, and determining an upgraded automatic driving model based on the summarizing results. Therefore, when the automatic driving abnormity occurs, the training upgrading of the automatic driving model can be triggered, the model upgrading task is migrated from the cloud to the idle intelligent vehicles, and the plurality of idle intelligent vehicles utilize the idle computing power to perform parallel processing on different sub-tasks, so that the model upgrading speed is greatly improved, and the user experience is improved. Therefore, the automatic driving performance and the automatic driving safety are timely and efficiently improved.
本公开提供了自动驾驶模型的升级系统、方法及装置,涉及计算机技术领域,尤其涉及自动驾驶、智能交通技术领域。具体实现方案为:响应于接收到自动驾驶异常消息,创建模型升级任务,下发至由空闲智能车辆构成的车辆群组,模型升级任务由多个子任务构成,以使空闲智能车辆分别对模型升级任务包含的不同子任务进行处理;汇总各个子任务的处理结果,基于汇总结果确定升级后的自动驾驶模型。可见,当出现自动驾驶异常时即可触发自动驾驶模型的训练升级,并且将模型升级任务由云端迁移到空闲的智能车辆,多个空闲智能车辆利用空闲算力对不同子任务进行并行处理,极大提高模型升级速度,从而及时高效的提高自动驾驶性能以及自动驾驶安全性。
Upgrading system, method and device of automatic driving model
自动驾驶模型的升级系统、方法及装置
08.07.2022
Patent
Elektronische Ressource
Chinesisch
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