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PROBABILISTIC PARKING ROUTES

机译:概率停车路线

摘要

Contemporary navigation systems are often tasked with routing a vehicle to a destination, but are poorly equipped to assist with finding a vacancy of a parking opportunity in which the vehicle may be parked. Static information, such as enumeration of parking garages and curbside parking meters, may be frustrating if such parking opportunities have no vacancies. The determination of vacancies with certainty may be difficult to achieve due to the characteristic volatility of parking, in which vacancies may be taken in seconds. Presented herein are navigation device configurations involving probabilistic evaluation of parking routes in a vicinity of a destination that may be generated and compared, optionally weighted by various factors, to identify a parking route with parking opportunities that collectively present a high probability of vacancy as compared with other parking routes, which may be presented to the user and/or appended to a current route of an autonomous vehicle.
机译:背景技术现代导航系统通常负责将车辆路由到目的地,但是装备不足以辅助发现可能将车辆停在其中的停车机会的空缺。如果此类停车位没有空位,那么静态信息(例如,停车库和路边停车收费表的枚举)可能会令人沮丧。由于停车位的典型波动性,可能很难实现确定的空缺率,在这种情况下,空置率可能在几秒钟内就可以确定。本文提出的导航设备配置涉及概率评估可能产生和比较的目的地附近的停车路线,并可选地由各种因素加权,以识别停车路线,该停车路线与停车位相比总体上具有很高的空置率。其他停车路线,其可以呈现给用户和/或附加到自动驾驶车辆的当前路线。

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