Invention Grant
- Patent Title: Sensor data confidence estimation based on statistical analysis
-
Application No.: US14732002Application Date: 2015-06-05
-
Publication No.: US10235629B2Publication Date: 2019-03-19
- Inventor: Stephan J. Lemmer , David R. Chambers
- Applicant: Southwest Research Institute
- Applicant Address: US TX San Antonio
- Assignee: SOUTHWEST RESEARCH INSTITUTE
- Current Assignee: SOUTHWEST RESEARCH INSTITUTE
- Current Assignee Address: US TX San Antonio
- Agency: Grossman, Tucker et al
- Main IPC: G06N7/00
- IPC: G06N7/00 ; G06K9/62 ; G06N3/12 ; G06N99/00 ; G06K9/00

Abstract:
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.
Public/Granted literature
- US20160358088A1 SENSOR DATA CONFIDENCE ESTIMATION BASED ON STATISTICAL ANALYSIS Public/Granted day:2016-12-08
Information query
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 |