A_Th_FSESB], [ FSESA_Th_FSESB] *, [FSESB_Th_FSESA], [FSESB_Th_FSESA] *"-based relative information items (RI1, RI1*, RI2, RI2*) independently of one another by means of homogenous transformation [Th], which relative information items (RI1, RI1*, RI2, RI2*) are preferably formed by the respective vehicle sensor system by means of the entire system parameters/system features or a subset thereof. After this, the vehicle sensor system FSESA compares the self-generated relative information items (RI2, RI2*) of the relative information items (RI2, RI2*) which were generated and transferred by the further vehicle sensor system FSESB. When identity is detected (in the case of identically observed information), the vehicle sensor system (FSESA) operates normally within the scope of the observed system parameters/system features, and otherwise a fault is present."/>
METHOD FOR CARRYING OUT DIAGNOSTICS ON A VEHICLE SENSOR SYSTEM, IN PARTICULAR AN AUTONOMOUS VEHICLE, AND VEHICLE SENSOR SYSTEM, IN PARTICULAR AN AUTONOMOUS VEHICLE
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METHOD FOR CARRYING OUT DIAGNOSTICS ON A VEHICLE SENSOR SYSTEM, IN PARTICULAR AN AUTONOMOUS VEHICLE, AND VEHICLE SENSOR SYSTEM, IN PARTICULAR AN AUTONOMOUS VEHICLE
METHOD FOR CARRYING OUT DIAGNOSTICS ON A VEHICLE SENSOR SYSTEM, IN PARTICULAR AN AUTONOMOUS VEHICLE, AND VEHICLE SENSOR SYSTEM, IN PARTICULAR AN AUTONOMOUS VEHICLE
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机译：在特别是车辆上的车辆传感器系统上进行诊断的方法，以及特别是在车辆上的车辆传感器系统
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摘要
In order to be able to carry out self-diagnostics on a vehicle sensor system (FSESA), in particular on an autonomous vehicle in a simple manner and without large additional outlay, it is proposed that in the course of the self-diagnostics of the vehicle sensor system (FSESA) this vehicle sensor system (FSESA) and a further vehicle sensor system (FSESB) observe one another and in the process acquire, in a sensor-system-based fashion (SEA, SEB) in each case at least one extracted system feature (FSESA_SM_FSESB, FSESA_SM`_FSESB, FSESB_SM_FSESA, FSESB_SM`_FSESA) and generate, as a function of sensor-system-related, extrinsic and intrinsic system parameters (SPAe, SPAi, SPBe, SPBi) and the acquired system features "6D-Systempose [FSESA_Th_FSESB], [ FSESA_Th_FSESB] *, [FSESB_Th_FSESA], [FSESB_Th_FSESA] *"-based relative information items (RI1, RI1*, RI2, RI2*) independently of one another by means of homogenous transformation [Th], which relative information items (RI1, RI1*, RI2, RI2*) are preferably formed by the respective vehicle sensor system by means of the entire system parameters/system features or a subset thereof. After this, the vehicle sensor system FSESA compares the self-generated relative information items (RI2, RI2*) of the relative information items (RI2, RI2*) which were generated and transferred by the further vehicle sensor system FSESB. When identity is detected (in the case of identically observed information), the vehicle sensor system (FSESA) operates normally within the scope of the observed system parameters/system features, and otherwise a fault is present.
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机译：为了能够在车辆传感器系统（FSES A ）上，特别是在自动驾驶车辆上，以简单的方式并且没有大的额外支出进行自我诊断，建议在车辆传感器系统（FSES A ），此车辆传感器系统（FSES A ）和其他车辆传感器系统（FSES B < / Sub>）互相观察，并在此过程中分别以基于传感器系统的方式（SE A ，SE B ）获取至少一个提取的系统功能（FSES A _SM_FSES B ，FSES A _SM`_FSES B ，FSES B > _SM_FSES A ，FSES B _SM`_FSES A ），并根据与传感器系统相关的函数生成外部和固有系统参数（SP Ae ，SP Ai ，SP Be ，SP Bi ），并且获得的系统具有“ 6D-Systempose [FSES A _T h _FSES B ]，[FSES A _T h _FSES B ] *，[FSES B _T h _FSES A ]，[FSES B _T h _FSES A ] *“为基础的相对信息项（RI1，RI1 *，RI2，RI2 *）独立借助于同构变换[T h ]彼此相互关联，优选通过相应的车辆传感器系统借助于整个系统来形成相对信息项（RI1，RI1 *，RI2，RI2 *）参数/系统特征或其子集。此后，车辆传感器系统FSES A 比较由另一辆车生成并传送的相对信息项（RI2，RI2 *）的自生成相对信息项（RI2，RI2 *）传感器系统FSES B 。当检测到身份（在相同观察到的信息的情况下）时，车辆传感器系统（FSES A ）在观察到的系统参数/系统特征的范围内正常运行，否则会出现故障。
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