A method, apparatus, and system are provided for collaborative classification of objects in an autonomous vehicle environment. A controller receives data quality indicators from a plurality of devices. Each data quality indicator reflects a quality of an instance of object sensing data held by the device. Each device determines its data quality indicator from its sensor data and an indication of an object boundary region. The controller makes a decision based at least in part on the data quality indicator, for example, as to which instances of object sensing data are used for an object classification task, which device is to perform the object classification task, any downsampling of sensor data to be performed prior to object classification, and decisions of resource allocation for object classification. The decision may be made by solving an optimization problem.
提供了一种用于对自动驾驶车辆环境中的对象进行协同分类的方法、装置和系统。控制器接收来自多个设备的数据质量指示符。每个数据质量指示符反映设备保持的对象感测数据的实例的质量。每个设备根据自己的传感器数据和对象边界区域的指示来确定其数据质量指示符。所述控制器至少部分地基于所述数据质量指示符做出决策,例如关于将对象感测数据的哪些实例用于对象分类任务、哪个设备将执行所述对象分类任务、将在对象分类之前执行的传感器数据的任何下采样以及用于对象分类的资源分配的决策。可以通过解决优化问题来做出所述决策。
Systems and methods for collaborative awareness
用于协同感知的系统和方法
06.05.2025
Patent
Elektronische Ressource
Chinesisch
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