Mobile Sensor Fusion for Accurate Vehicle Crash Detection

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Solution Overview

Problem

Current systems for detecting vehicle crashes using sensors and apps are inefficient, as they often rely on limited sensor data and lack accurate methods for generating comprehensive crash data, which can lead to false alarms and incomplete information.

Innovation Solution

A computer-implemented method and system that utilizes multiple sensors on mobile computing devices within a vehicle to receive and generate combined sensor data before and after a crash, including accelerometer, gyroscope, pressure, and sound monitoring data, to accurately determine crash occurrence and severity.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If multiple sensors are used to collect comprehensive crash data, then crash detection accuracy is improved, but device complexity increases

Engineering Contradiction:
Improvecrash detection accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The mobile computing device performs multiple functions: it collects sensor data, detects crashes, generates combined sensor data, and transmits information to insurance providers. By making the mobile device universal and multi-functional, the system achieves comprehensive crash data collection without adding separate dedicated hardware components, thus improving accuracy while managing complexity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent combines sensor data from before and after the crash into a single combined sensor data structure. This merging of data collection periods and multiple sensor inputs into one unified dataset improves measurement precision while simplifying the overall data handling process rather than requiring separate systems for each function.

Inventive Principle:
Principle #5Merging (Combining)

2Measurement precision

If sensor data is collected for extended periods before and after crash, then severity assessment is improved, but loss of time increases

Engineering Contradiction:
Improveseverity assessment accuracyVSAvoiddata collection time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system continuously collects sensor data before a crash occurs and stores it in buffer memory. This preliminary action ensures that when a crash happens, the data is already captured and ready for immediate processing. The combined sensor data includes pre-crash, crash, and post-crash information without requiring extended real-time collection during the critical response period.

Inventive Principle:
Principle #10Preliminary action

3Reliability

If comprehensive sensor data is generated and transmitted, then insurance claim processing is improved, but productivity decreases

Engineering Contradiction:
Improveclaim processing accuracyVSAvoidcrash data generation efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The mobile computing device automatically performs crash detection, generates combined sensor data, and transmits it to the insurance provider without requiring manual intervention. This self-service capability ensures comprehensive data is captured and submitted reliably while maintaining efficiency, as the automated process eliminates delays associated with manual data collection and submission.

Inventive Principle:
Principle #25Self-service

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach enhances the accuracy of crash detection and data generation, reducing false alarms and providing comprehensive information for insurance claims, improving the reliability of crash data collection and analysis.

Implementation Method 1

base sensor data output by at least one sensor of the mobile computing device, wherein the base sensor data includes acceleration data output by an accelerometer of the mobile computing device

Methodology Applied
Scientific EffectAccelerometer: Accelerometer

Implementation Method 2

additional sensor data output by at least one further sensor of the mobile computing device, wherein the additional sensor data includes at least one of: orientation data output by a gyroscope of the mobile computing device

Methodology Applied
Scientific EffectGyroscope: Gyroscope

Implementation Method 3

the additional sensor data includes at least one of: orientation data output by a gyroscope of the mobile computing device, pressure data output by a barometric pressure sensor of the mobile computing device

Methodology Applied
Scientific EffectPressure sensor:

Implementation Method 4

sound data output by a microphone of the mobile computing device

Methodology Applied
Scientific EffectSound: Sound

Data Source

PatentUS11756354B2System and method for generating data regarding a vehicle crash
Publication Date: 2023.09.12 STATE FARM MUTAL AUTOMOBILE INSURANCE COMPANY
  • US11756354B2 patent drawing
  • US11756354B2 patent drawing
  • US11756354B2 patent drawing

AI summary

A method includes receiving initial sensor data and additional sensor data; and generating combined sensor data. A computing device for includes one or more processors; and one or more memories coupled to the one or more processors, the one or more memories including non-transitory computer executable instructions stored therein that, when executed by the one or more processors, cause the one or more processors to: receive initial sensor data and additional sensor data; and generate combined sensor data. A computer readable storage medium includes non-transitory computer readable instructions stored thereon for generating data regarding a vehicle crash, wherein the instructions when executed on one or more processors cause the one or more processors to: receive initial sensor data and additional sensor data; and generate combined sensor data.