Vehicle Sensor Data Aggregation for Accurate Accident Assessment
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Solution Overview
Problem
Existing methods for assessing accident events in vehicles rely on biased and inaccurate verbal accounts from individuals, making it difficult to collect reliable information for insurance and law enforcement purposes.
Innovation Solution
A system and method that utilizes vehicle devices to automatically collect and aggregate sensor data from multiple devices in proximity to an accident event via wireless network connections, dynamically retrieving and analyzing additional sensor data to compile accurate information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If verbal accounts from individuals are used to assess accident events, then information collection is simple and quick, but the reliability and accuracy of the information deteriorates due to bias and poor recall
Solution Approach 1:
The patent replaces the mechanical system of human verbal reporting with an automated electronic data collection system. Sensors in vehicles automatically detect and record accident parameters (impact forces, acceleration, deformation) without human intervention, eliminating recall bias and subjective interpretation while maintaining simple information gathering through automated electronic systems.
Solution Approach 2:
The accident assessment system performs self-service by automatically detecting, recording, and transmitting accident data without requiring human action. The vehicle's onboard sensors and processors independently complete the information collection and initial analysis, freeing individuals from the burden of verbal reporting while ensuring consistent, objective data capture.
2Measurement precision
If sensor data is automatically collected from multiple vehicles via wireless networks, then the accuracy and completeness of accident assessment improves, but the device complexity and data processing requirements worsen
Solution Approach 1:
The patent segments the accident assessment function across multiple independent vehicle units, each equipped with its own sensors and processing capabilities. Rather than one complex centralized system, each vehicle independently collects and processes its own data, then shares results wirelessly. This distributes complexity while improving measurement precision through multiple independent verification sources.
Solution Approach 2:
The patent creates a universal accident assessment platform where standard sensors and processing units in each vehicle serve multiple functions: detecting local accident parameters, communicating with other vehicles, and contributing to aggregate accident reconstruction. This multi-functionality reduces overall system complexity by using the same hardware for multiple purposes while achieving high measurement precision.
Data Source
AI summary
A computer-implemented method implemented by one or more processors for assessing accident events, the computer-implemented method including: determining, based on first sensor data captured by one or more first sensors associated with a first vehicle, that an accident event occurred; and after determining that the accident event occurred: sending, to an electronic device associated with a second vehicle, a request for second sensor data captured by one or more second sensors of the electronic device associated with the second vehicle; receiving, from the electronic device, the second sensor data; analyzing the second sensor data to determine that the second sensor data is related to the accident event; and aggregating the first sensor data with the second sensor data. Other embodiments are described.