Rapid robust detection decreaser
    1.
    发明授权

    公开(公告)号:US10788583B2

    公开(公告)日:2020-09-29

    申请号:US15785300

    申请日:2017-10-16

    Abstract: A system for tracking targets. A sequence of sensor observations is processed with two thresholds, including a first threshold, and a second threshold, higher than the first threshold. Signals that exceed the first threshold are identified as low-confidence target detections and stored for possible future use. When a signal exceeds the higher second threshold, it is identified as a high-confidence detection, and one or more candidate tracks are formed, including the high-confidence detection and one or more low-confidence detections from within a neighborhood of the high-confidence detection.

    LOCALLY INVARIANT GLOBAL HYPOTHESIS TRACKING
    2.
    发明申请
    LOCALLY INVARIANT GLOBAL HYPOTHESIS TRACKING 有权
    本地不可预测的全球假期追踪

    公开(公告)号:US20130275034A1

    公开(公告)日:2013-10-17

    申请号:US13862075

    申请日:2013-04-12

    CPC classification number: G01C23/00 G01S13/726

    Abstract: The technology described herein includes a system and/or a method for global hypothesis tracking In some examples, a method generates one or more paired segments based on track data. The method further generates one or more multi-segment tracks based on the one or more paired segments and generates a transition probability between each pair of the one or more paired segments.

    Abstract translation: 本文描述的技术包括用于全局假设跟踪的系统和/或方法。在一些示例中,方法基于轨道数据生成一个或多个配对的段。 所述方法还基于所述一个或多个配对的段来生成一个或多个多段轨道,并且在所述一对或多个配对段的每对之间产生转移概率。

    RAPID ROBUST DETECTION DECREASER
    3.
    发明申请

    公开(公告)号:US20190113624A1

    公开(公告)日:2019-04-18

    申请号:US15785300

    申请日:2017-10-16

    Abstract: A system for tracking targets. A sequence of sensor observations is processed with two thresholds, including a first threshold, and a second threshold, higher than the first threshold. Signals that exceed the first threshold are identified as low-confidence target detections and stored for possible future use. When a signal exceeds the higher second threshold, it is identified as a high-confidence detection, and one or more candidate tracks are formed, including the high-confidence detection and one or more low-confidence detections from within a neighborhood of the high-confidence detection.

    Locally invariant global hypothesis tracking
    4.
    发明授权
    Locally invariant global hypothesis tracking 有权
    本地不变性全局假设跟踪

    公开(公告)号:US09441986B2

    公开(公告)日:2016-09-13

    申请号:US13862075

    申请日:2013-04-12

    CPC classification number: G01C23/00 G01S13/726

    Abstract: The technology described herein includes a system and/or a method for global hypothesis tracking. In some examples, a method generates one or more paired segments based on track data representing kinematic data of target objects. Each paired segment includes a list of tracks incompatible with the paired segment, which are tracks sharing common track data, and a likelihood score. The method generates a transition probability between each pair of the paired segments based on the list of tracks incompatible with the paired segment and the likelihood score associated with each paired segment. The method further generates one or more multi-segment tracks based on the one or more paired segments also based on the transition probability between each pair of the paired segments.

    Abstract translation: 本文描述的技术包括用于全局假设跟踪的系统和/或方法。 在一些示例中,方法基于表示目标对象的运动学数据的轨道数据生成一个或多个配对的段。 每个配对片段包括与配对片段不兼容的轨道列表,其是共享公共轨道数据的轨道和可能性分数。 该方法基于与配对片段不兼容的轨道列表和与每个配对片段相关联的似然分数,在每对配对片段之间生成转换概率。 该方法还基于每对配对段之间的转移概率,基于一个或多个配对段来生成一个或多个多段轨道。

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