- 专利标题: Sensor data confidence estimation based on statistical analysis
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申请号: US14732002申请日: 2015-06-05
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公开(公告)号: US10235629B2公开(公告)日: 2019-03-19
- 发明人: Stephan J. Lemmer , David R. Chambers
- 申请人: Southwest Research Institute
- 申请人地址: US TX San Antonio
- 专利权人: SOUTHWEST RESEARCH INSTITUTE
- 当前专利权人: SOUTHWEST RESEARCH INSTITUTE
- 当前专利权人地址: US TX San Antonio
- 代理机构: Grossman, Tucker et al
- 主分类号: G06N7/00
- IPC分类号: G06N7/00 ; G06K9/62 ; G06N3/12 ; G06N99/00 ; G06K9/00
摘要:
A method and system is provided for estimation of sensor data confidence based on statistical analysis of different classifier and feature-set (CF) configurations. A method may include: training a classifier of a CF configuration based on a training set of nominal sensor data values; executing the classifier on the training set to generate a first set of confidence values; collecting statistics on the confidence values; calculating a confidence decision threshold based on the collected statistics; executing the classifier on an evaluation set of nominal and degraded sensor data values, to generate a second set of confidence values; deciding whether the sensor data values of the evaluation set are nominal or degraded based on a comparison of the second set of confidence values to the confidence decision threshold; and calculating a score to evaluate the trained classifier based on a verification of the decisions.
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IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06N | 基于特定计算模型的计算机系统 |
G06N7/00 | 基于特定数学模式的计算机系统 |