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Method and system for providing auto space management using virtuous cycle

机译:使用良性循环提供自动空间管理的方法和系统

摘要

A method or system capable of managing automobile parking space (“APS”) using containerized sensors, machine learning center, and cloud based network is disclosed. A process, in one aspect, monitors the surrounding information observed by a set of onboard sensors of a vehicle as the vehicle is in motion. After selectively recording the surrounding information in accordance with instructions from a containerized APS model which is received from a machine learning center, an APS and APS surrounding information are detected when the vehicle is in a parked condition. Upon rewinding recorded surrounding information leading up to the detection of APS, labeled data associated with APS is generated based on APS and the recorded surrounding information. The process subsequently uploads the labeled data to the cloud based network for facilitating APS model training at the machine learning center via a virtuous cycle.
机译:公开了一种使用集装箱传感器,机器学习中心和基于云网络的汽车停车位(“AP)的方法或系统。在一个方面,在一个方面监视由车辆的一组车载传感器观察到的周围信息作为车辆运动。在根据从机器学习中心接收的容器化APS模型的指令选择地选择性地记录周围信息之后,当车辆处于停放状态时检测到围绕信息的AP和AP。在倒带记录的周围信息时,通往AP的检测,基于AP和记录的周围信息生成与APS相关联的标记数据。该过程随后将标记的数据上传到基于云的网络,以便通过良性循环促进机器学习中心的APS模型训练。

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