首页> 外国专利> SENSOR PRODUCT, SIMULATOR AND METHOD FOR SIMULATING SENSOR MEASUREMENTS, FOR MERGING SENSOR MEASUREMENTS, FOR VALIDATING A SENSOR MODEL AND FOR DESIGNING A DRIVER ASSISTANCE SYSTEM

SENSOR PRODUCT, SIMULATOR AND METHOD FOR SIMULATING SENSOR MEASUREMENTS, FOR MERGING SENSOR MEASUREMENTS, FOR VALIDATING A SENSOR MODEL AND FOR DESIGNING A DRIVER ASSISTANCE SYSTEM

机译:用于模拟传感器测量,用于合并传感器测量,用于验证传感器模型以及用于设计驾驶员辅助系统的传感器产品,模拟器和方法

摘要

A calculation rule which, by means of sensor data (4, 40), permits suitable modifications to be determined in an environment representation (6), i.e., in the internal evaluation of the environment perceived by a driver-assist application, is introduced as a fusion model (8). The fusion model (8) is thus, for example, a calculation rule which indicates how the sensor data (4, 40) are to be interpreted in relation to an environment representation type (for example, a grid chart or object list) and according to which the sensor data (4, 40) can be converted into the environment representation (6). The actual modifications in the environment representation (6), however, are made by a modularly separate inference engine (80) which interprets the fusion model (8) for that purpose. The modular separation of the sensor fusion into fusion model (8) and inference engine (80) reduces dependencies during the development of driver-assist systems and thus enables the work to be divided more flexibly. In addition, expenditure and effort during design and test cycles are reduced. As a result of modularization, design tasks can be divided between suppliers to a greater extent. Furthermore, the fusion model (8) can now be developed by machine leaning in that it can be formulated as a factor graph, for example, and parameterized by solving a mixed discrete-continuous optimization problem.
机译:引入了一种计算规则,该计算规则借助于传感器数据(4、40)允许在环境表示(6)中,即在对驾驶员辅助应用感知的环境进行内部评估时确定适当的修改。融合模型(8)。因此,融合模型(8)例如是计算规则,其指示如何相对于环境表示类型(例如,网格图或对象列表)来解释传感器数据(4、40)。传感器数据(4、40)可以转换为环境表示(6)。然而,环境表示(6)的实际修改是通过模块化分离的推理引擎(80)进行的,该引擎为此目的解释融合模型(8)。传感器融合到融合模型(8)和推理引擎(80)的模块化分离减少了驾驶员辅助系统开发过程中的依赖性,因此可以更灵活地划分工作。此外,减少了设计和测试周期的支出和精力。模块化的结果是,设计任务可以在更大范围内划分给供应商。此外,融合模型(8)现在可以通过机器学习来开发,例如,可以将其模型化为因子图,并通过解决混合离散连续优化问题对其进行参数化。

著录项

  • 公开/公告号WO2014183948A2

    专利类型

  • 公开/公告日2014-11-20

    原文格式PDF

  • 申请/专利权人 SIEMENS AKTIENGESELLSCHAFT;

    申请/专利号WO2014EP57611

  • 发明设计人 FIEGERT MICHAEL;FEITEN WENDELIN;

    申请日2014-04-15

  • 分类号G06F17/50;

  • 国家 WO

  • 入库时间 2022-08-21 15:10:08

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