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Revealing city dynamics from random imagery data captured by a plurality of vehicles

机译:从多个车辆捕获的随机图像数据中透露城市动态

摘要

A plurality of on-road vehicles moving along streets of a city, while utilizing onboard cameras for autonomous driving functions, are bound to capture, over time, random images of various city objects such as structures and street signs. Images of a certain city object may be captured by many of the vehicles at various times while passing by that object, thereby resulting in a corpus of imagery data containing various random images and other representations of that certain object. Per each of at least some of the city objects appearing more than once in the corpus of imagery data, appearances are detected and linked, and then analyzed to uncover behaviors associated with that city object, thereby eventually, over time, revealing various city dynamics associated with many city objects.
机译:多个沿着城市的街道移动的通道车辆,同时利用用于自主驾驶功能的船上相机,随着时间的推移,随着时间的推移,随着时间的轮廓,诸如结构和路牌标志的各种城市对象的随机图像。 可以在通过该对象的各个时代的许多车辆中由许多车辆捕获某个城市对象的图像,从而导致包含各种随机图像和该某些对象的其他表示的图像数据的语料库。 每个城市对象中的每一个都在图像数据的语料库中出现不止一次的城市对象,检测和链接出口,然后分析以发现与该城市对象相关联的行为,从而随着时间的推移,揭示相关的各种城市动态 与许多城市对象。

著录项

  • 公开/公告号US2021390292A1

    专利类型

  • 公开/公告日2021-12-16

    原文格式PDF

  • 申请/专利权人 GAL ZUCKERMAN;MOSHE SALHOV;

    申请/专利号US202117462075

  • 发明设计人 GAL ZUCKERMAN;MOSHE SALHOV;

    申请日2021-08-31

  • 分类号G06K9;G06K9/62;G06F16/587;G06F16/58;H04N7/18;

  • 国家 US

  • 入库时间 2022-08-24 22:51:32

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