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Methods and systems for detecting anomalies and forecasting optimizations to improve smart city or region infrastructure management using networks of autonomous vehicles

机译:使用自动驾驶汽车网络检测异常并预测优化以改善智能城市或区域基础设施管理的方法和系统

摘要

Methods and systems are provided for detecting anomalies and forecasting optimizations to improve smart city or region infrastructure management using networks of autonomous vehicles. An autonomous vehicle may receive initial information relating to infrastructure utilized by a plurality of autonomous vehicles, and may acquire, during operation in the infrastructure, real-time information relating to the infrastructure and/or to other ones of the plurality of autonomous vehicles. The acquired information may be processed, and based on the processing of the acquired information and the initial information, anomalies and/or problems affecting the infrastructure and/or operation of the plurality of autonomous vehicles in the infrastructure may be detected.
机译:提供了用于检测异常和预测最优化的方法和系统,以使用自动驾驶汽车网络来改善智能城市或区域基础设施管理。自主车辆可以接收与多个自主车辆所利用的基础设施有关的初始信息,并且可以在基础设施中的操作期间获取与基础设施和/或与多个自主车辆中的其他自主车辆有关的实时信息。可以处理所获取的信息,并且基于所获取的信息和初始信息的处理,可以检测到影响基础设施和/或基础设施中的多个自动驾驶车辆的操作的异常和/或问题。

著录项

  • 公开/公告号US10595175B2

    专利类型

  • 公开/公告日2020-03-17

    原文格式PDF

  • 申请/专利权人 VENIAM INC.;

    申请/专利号US201715845728

  • 发明设计人 PATRICIA CRISTINA RAMALHO DE OLIVEIRA;

    申请日2017-12-18

  • 分类号G08G1/09;H04W4/44;H04L29/08;G08G1/0967;H04W4/46;G08G1/01;G05D1;

  • 国家 US

  • 入库时间 2022-08-21 11:30:17

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