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THEFT PROOF TECHNIQUES FOR AUTONOMOUS DRIVING VEHICLES USED FOR TRANSPORTING GOODS

机译:用于运输货物的自主驾驶车辆的防盗技术

摘要

Various techniques for theft proofing autonomous driving vehicles (ADV) for transporting goods are described. Sensor data of a moving object representing a person within a predetermined proximity of an ADV for transporting goods (511) are captured for real-time analysis by a theft detection module, to determine a moving behavior of the moving object based on the sensor data in view of a set of known moving behaviors (513). The theft detection module further determines whether an intention of the person is likely to remove at least some of the goods from the ADV based on the moving behavior (515) using a process derived from historical image set, and sends an alarm to a predetermined destination in response to determining such an intention of the person. Other sensor data, for example, real time movements and weights of the ADV, can be used in conjunction with the process derived from historical image sets to determine the intention of the person.
机译:描述了用于运输货物的盗窃自主驾驶车辆(ADV)的各种技术。在用于运输货物的ADV的ADV的预定附近表示人的移动物体的传感器数据被盗窃检测模块进行实时分析,以基于传感器数据确定移动物体的移动行为一套已知移动行为的视图(513)。盗窃检测模块还确定人的意图是基于使用从历史图像集的过程(515)的移动行为(515)从adv中删除至少一些商品,并将警报发送到预定目的地响应确定该人的这种意图。其他传感器数据(例如,ADV的实时移动和权重)可以与历史图像集的过程结合使用以确定人的意图。

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