APPARATUS OF CONTINUOUS PROFILING FOR MULTICORE EMBEDDED SYSTEM AND METHOD OF THE SAME

    公开(公告)号:US20190042596A1

    公开(公告)日:2019-02-07

    申请号:US16045614

    申请日:2018-07-25

    Abstract: Disclosed herein is an apparatus for continuous profiling for a multicore embedded system, the apparatus including a profiling data reception unit for receiving one or more pieces of profiling source data, in which events for each core in a multicore embedded system are written, from the multicore embedded system; a profiling data analysis unit for analyzing the profiling source data, determining a time at which each of events included in the profiling source data occurred and a core corresponding to the event, and determining whether each of the events is a past event depending on the time at which the event occurred; and a profiling file management unit for distinguishing each of the events depending on the determination of whether the event is a past event and storing the events in profiling files.

    APPARATUS AND METHOD FOR ADAPTIVE AUTONOMOUS DRIVING CONTROL

    公开(公告)号:US20230133329A1

    公开(公告)日:2023-05-04

    申请号:US17979238

    申请日:2022-11-02

    Abstract: Disclosed herein are an apparatus and method for adaptive autonomous driving control. The apparatus includes memory in which at least one program is recorded and a processor for executing the program. The program may perform control of a target vehicle by converting a theoretical control value based on a vehicle control algorithm into a hardware-dependent control value, which is dependent on the platform or hardware of the target vehicle, and may modify at least one parameter or a conversion equation for conversion of the hardware-dependent control value such that an error is minimized based on the difference between a response value according to the control of the target vehicle and a control value.

    APPARATUS AND METHOD FOR MONITORING ABNORMAL STATE OF VEHICLE USING CLUSTERING TECHNIQUE
    9.
    发明申请
    APPARATUS AND METHOD FOR MONITORING ABNORMAL STATE OF VEHICLE USING CLUSTERING TECHNIQUE 有权
    使用集群技术监测车辆异常状态的装置和方法

    公开(公告)号:US20130297141A1

    公开(公告)日:2013-11-07

    申请号:US13874028

    申请日:2013-04-30

    CPC classification number: G06F17/00 B60W50/0205 G06K9/00 G06K9/6223 G06K9/6272

    Abstract: The present invention relates to an apparatus and method for monitoring abnormal state of a vehicle. In the method, CAN data collected from an ECU mounted on the vehicle is transformed into coordinates. The coordinates are applied to a distribution map in a specific space, a number of clusters is calculated based on results of the application, and an initial center point corresponding to the number of clusters is selected. Clustering is performed based on the initial center point, and then clusters are generated. At least one piece of data is extracted from each of the clusters, and a state feature of a corresponding cluster is decided on using a difference between maximum and minimum values of attributes constituting the at least one piece of data. A current state of the vehicle is monitored based on current CAN data of the vehicle and state features of the clusters.

    Abstract translation: 本发明涉及一种用于监视车辆异常状态的装置和方法。 在该方法中,从安装在车辆上的ECU收集的CAN数据被变换为坐标。 将坐标应用于特定空间中的分布图,基于应用结果计算群数,并且选择与簇数相对应的初始中心点。 基于初始中心点进行聚类,然后生成聚类。 从每个群集中提取至少一条数据,并且使用构成该至少一条数据的属性的最大值和最小值之间的差来确定相应簇的状态特征。 基于车辆的当前CAN数据和集群的状态特征来监视车辆的当前状态。

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