Rain Event Warning Confidence Evaluation via Stationary Sensor Data
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Solution Overview
Problem
Existing rain event warning systems generate inaccurate warnings due to inconsistent driver behavior, leading to false positives and decreased driver confidence.
Innovation Solution
A method to determine rain event warning confidence by evaluating sensor data from stationary sensors, including images, to assess the accuracy of rain conditions, thereby suppressing false positives and ensuring only accurate warnings are published.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If rain event warnings are generated based on vehicle sensor data, then drivers receive weather alerts, but false positive warnings are generated due to inconsistent driver behavior
Solution Approach 1:
The patent introduces a computing entity that acts as an intermediary between vehicle sensors and the warning system. This intermediary receives sensor data, applies consistent evaluation criteria, and filters out false positives before generating warnings, thereby improving reliability without reducing productivity
Solution Approach 2:
The system implements feedback by evaluating sensor data against established criteria and using the results to determine whether to generate warnings. This feedback mechanism ensures that only reliable warnings are published, resolving the contradiction between generating warnings and maintaining accuracy
2Loss of information
If rain event warnings are published based on vehicle sensor data, then drivers receive weather information, but driver confidence decreases due to false positives
Solution Approach 1:
The system performs preliminary evaluation of sensor data before publishing warnings. By pre-filtering data using consistent criteria and evaluating confidence levels in advance, the system ensures that only high-confidence warnings are delivered to drivers, maintaining both information delivery and driver confidence
3Speed
If vehicle sensor data is used to trigger rain event warnings, then warnings are generated quickly, but inaccuracy occurs due to inconsistent driver behavior
Solution Approach 1:
The patent changes the parameters used for warning generation from raw sensor data alone to a composite evaluation that includes multiple sensor readings, driver behavior patterns, and confidence thresholds. This parameter transformation maintains quick response times while improving accuracy through more robust evaluation criteria
Data Source
AI summary
A method, apparatus and computer program product for determining a rain event warning are described herein. In the context of a method, an indication of the rain event warning for one or more locations may be received. The method may obtain, for a respective rain event warning, sensor data corresponding to a weather condition within a region that includes the location with which the respective rain event warning is associated. The method may evaluate the sensor data to determine whether the sensor data is indicative of the weather condition (e.g., rain). The method may determine a rain event warning confidence based at least in part on evaluation of the sensor data. The method may cause the rain event warning to be published in an instance in which the rain event warning confidence satisfies a confidence threshold.