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Real time machine vision and point cloud analysis remote sensing and vehicle control

机译:实时机器视觉和点云分析,遥感和车辆控制

摘要

Remote sensing and vehicle control are provided for real time machine vision and point-point cloud data analysis method and apparatus. Via expansible, concentration, the generation of the cloud computing system and Semantic mapping of the extraction for assets information, middle point cloud data can be analyzed. One data storage/preprocessor (1220) divides a data set again, is used to flow out to a distributed processing unit (1240) and operation via data analysis machine system (1250). The output quantity of processing unit (1240) subtracts diagram generator (1230) by one and is assembled. Machine learning component can optimize data analysis machine system and improve assets and feature extraction from sensor information. The data analysis machine system of optimization can be downloaded to the vehicle of the onboard system for analyzing automotive sensor data. It can locally use in the car, with onboard sensor, export accurate vehicle and localize and provide input directly to vehicle to control system Semantic mapping data.
机译:提供了用于实时机器视觉和点云数据分析的方法和设备的遥感和车辆控制。通过可扩展性,集中性,云计算系统的生成以及资产信息提取的语义映射,可以分析中间点云数据。一个数据存储/预处理器(1220)再次划分数据集,用于流出到分布式处理单元(1240)并经由数据分析机器系统(1250)进行操作。处理单元(1240)的输出量减去图生成器(1230)一并组装。机器学习组件可以优化机器系统的数据分析,并改善传感器信息的资产和特征提取。可以将优化的数据分析机系统下载到车载系统的车辆上,以分析汽车传感器数据。它可以通过车载传感器在本地使用,输出准确的车辆并定位并直接向车辆提供输入,以控制系统语义映射数据。

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