Dynamic Scene Model Creation for Collision Reconstruction
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Solution Overview
Problem
The current auto insurance claim process is highly manual and costly, prone to human error, and inefficient, relying on manual reconstruction of accident scenes using toy cars and third-party sketches, which are often untimely and costly to acquire.
Innovation Solution
A system and method that dynamically creates and adjusts scene models using telematics, sensor, audio, and camera data, along with driver accounts, to generate accurate and efficient collision reconstructions, allowing multiple models to be created and verified, facilitating subrogation and liability determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual reconstruction methods (toy cars on hand-drawn maps) are used to create accident scene models, then the process is simple to perform, but the accuracy and reliability of the scene model is poor
Solution Approach 1:
The system collects and stores telematics data, sensor data, and other relevant information in advance before accidents occur. This preliminary data collection enables accurate scene reconstruction without requiring complex manual measurement tools at the accident scene, resolving the contradiction between accuracy and complexity.
Solution Approach 2:
Instead of manually recreating scenes with physical models, the system creates digital copies of accident scenes using collected data from telematics devices, sensors, and other sources. This digital copying approach achieves high accuracy while avoiding the complexity of manual physical reconstruction methods.
2Reliability
If third-party scene models are acquired from police departments, then the reliability of the scene model is improved, but the time required and cost to obtain the model increases
Solution Approach 1:
The system performs preliminary data collection and scene reconstruction immediately after an accident using telematics and sensor data, eliminating the need to wait for third-party police reports. This advance preparation provides reliable scene models instantly, resolving the contradiction between reliability and time acquisition.
Solution Approach 2:
The system enables insurance companies to independently generate their own scene models using data from telematics devices and sensors installed in vehicles, rather than relying on external police departments. This self-service capability provides both high reliability and immediate availability of scene models.
3Measurement precision
If multiple data sources (telematics, sensors, driver accounts) are integrated to create scene models, then the accuracy and completeness of the model is improved, but the complexity of data processing and model creation increases
Solution Approach 1:
The system employs a multi-functional data processing platform that can handle various data types (telematics, sensor data, driver accounts) through a unified processing framework. This universal approach integrates multiple data sources effectively while managing complexity through standardized processing procedures.
Solution Approach 2:
The system introduces an intermediary processing layer that standardizes and harmonizes data from multiple diverse sources before integration. This intermediary layer simplifies the complexity of integrating telematics, sensor, and driver account data by providing a common data format and validation framework.
4Productivity
If manual claims processing is used, then the process is easy to understand and manage, but the productivity and efficiency of the claims process is low
Solution Approach 1:
The system enables automated, self-service claims processing where telematics data and sensor information automatically generate scene models and support claim decisions without requiring extensive manual intervention. This automation dramatically improves productivity while the modular design keeps system complexity manageable.
Solution Approach 2:
The system replaces manual mechanical processes (physical scene reconstruction, manual data collection) with automated digital processes using telematics and sensors. This substitution increases productivity significantly while the standardized digital workflows keep the system complexity controllable and manageable.
Data Source
AI summary
In one aspect, a graphical user interface (GUI) for a dynamic model creation (DMC) system may be provided. The GUI may include: (i) a first display area programmed to display the at least one model including a visual representation of a determined location where a collision occurred, and/or (ii) a second display area programmed to display at least one data table corresponding to the at least one model, wherein movement of a visual representation of a vehicle on the GUI during a simulation of the at least one model is controlled at least by telematics data, and wherein the GUI is configured to receive user inputs such that the visual representations in the first display area and the at least one data table in the second display area are dynamically modifiable by a user.