Virtual Mirror Rendering for Faster Predictive Collision Analysis
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Solution Overview
Problem
Current collision simulation and prediction systems are time-consuming and require numerous iterations to recreate vehicle collisions, especially when involving complex scenarios, and often rely on incomplete data from vehicle event recorders, which limits their effectiveness in reconstructing incidents.
Innovation Solution
A virtual mirror graphical representation is generated using 3D data from laser scanners to simulate rear views in predictive collision analysis, allowing for a more comprehensive and efficient simulation by providing a virtual environment that mimics real-world conditions, including side and rear views, thereby reducing the need for multiple simulations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional collision simulation systems are used to recreate vehicle collisions, then collision analysis can be performed, but the process is time-consuming and requires numerous iterations
Solution Approach 1:
The system performs preliminary 3D scanning of the collision environment to create accurate digital models before simulation begins. By pre-capturing the spatial relationships, object positions, and environmental features using laser scanners and coordinate measurement devices, the system eliminates the need for multiple iterative simulations to reconstruct the scene, significantly reducing analysis time while maintaining accuracy
Solution Approach 2:
The system creates precise digital copies of the physical collision environment and vehicles using 3D scanning technology. These digital twins include accurate representations of vehicle positions, road geometry, and surrounding objects, allowing for single-pass simulation analysis without requiring repeated physical measurements or iterations
2Loss of information
If vehicle event recorder data is used for collision reconstruction, then some collision information can be obtained, but the data is incomplete and limits effectiveness
Solution Approach 1:
The system merges multiple data sources including vehicle event recorder data with 3D laser scanning data, coordinate measurement data, and environmental survey data. This combination creates a comprehensive dataset that compensates for the limitations of individual sources, providing complete spatial, temporal, and contextual information for accurate collision reconstruction
Solution Approach 2:
The system introduces 3D scanning technology and coordinate measurement devices as intermediary tools to capture environmental and spatial data that vehicle event recorders cannot record. These intermediaries bridge the gap between limited vehicle data and the comprehensive information needed for complete incident reconstruction
3Measurement precision
If comprehensive collision data collection is performed using 3D scanning and multiple measurement devices, then measurement accuracy is improved, but device complexity increases
Solution Approach 1:
The system employs multi-functional measurement devices that can perform multiple operations. For example, laser scanners simultaneously capture 3D coordinates, surface geometry, and material properties, while coordinate measurement devices can measure both static and dynamic parameters. This multi-functionality reduces the total number of devices needed while maintaining high measurement precision across all parameters
Data Source
AI summary
Examples described herein provide a method for performing a predictive collision analysis. The method includes initiating, on a processing system, the predictive collision analysis to be performed on the processing system. The further method includes defining a virtual mirror property for a virtual mirror for the predictive collision analysis. The method further includes performing, by the processing system, the predictive collision analysis. Performing the predictive collision analysis includes generating a virtual mirror graphical representation including the virtual mirror based on the virtual mirror property.