Vehicle Accident Data Storage Using Impulse-Based Priority Indexing
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Solution Overview
Problem
Conventional vehicle accident data recording apparatuses delete initial cause data over time due to FIFO storage, limiting the analysis of accident circumstances, especially for minor collisions or pedestrian collisions, as they rely solely on data before and after the accident point.
Innovation Solution
A method that calculates a priority index based on impulse values from a camera and sensor data, using a controller to store data in volatile memory and transfer critical accident-related data to non-volatile memory, preventing initial cause data deletion and ensuring comprehensive accident analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is stored in FIFO manner in conventional vehicle accident data recording apparatus, then storage capacity is efficiently managed, but initial cause data is deleted over time making it difficult to find initial accident cause
Solution Approach 1:
The patent segments the storage system into two distinct memory types: volatile memory for real-time continuous storage with FIFO management, and non-volatile memory for permanent preservation of critical accident data. This segmentation allows each memory type to serve its specific function optimally - volatile memory maintains storage efficiency through FIFO, while non-volatile memory protects against information loss by permanently storing accident-related data.
Solution Approach 2:
The controller acts as an intermediary that monitors impulse values from sensors and determines when to transfer data from volatile to non-volatile memory. This intermediary function enables the system to identify critical accident moments and preserve the associated initial cause data in non-volatile memory, preventing its deletion while maintaining efficient FIFO management in volatile memory.
2Quantity of substance
If only data before and after accident point is stored, then storage space is conserved, but comprehensive accident analysis is limited
Solution Approach 1:
The system performs preliminary action by continuously storing driving data in volatile memory before an accident occurs. This continuous pre-accident data collection ensures that when an accident is detected through impulse value threshold exceeding, sufficient preliminary data is already available in volatile memory to be transferred to non-volatile memory for comprehensive accident analysis.
3Loss of information
If continuous real-time storage is performed, then complete driving data is captured, but memory capacity is quickly exhausted
Solution Approach 1:
The patent extracts critical accident-related data from the continuous data stream in volatile memory and transfers it to non-volatile memory when an accident is detected. This extraction process removes the burden of storing extensive pre-accident data in volatile memory, preventing memory capacity exhaustion while ensuring that the most important accident analysis data is preserved in non-volatile memory.
Data Source
AI summary
Provided is a method of storing accident data for a vehicle, in which image data taken by a camera during driving is stored in real time, a weight value is set according to a measured impulse value to calculate a priority index and data is stored in a memory based on the priority index, thereby preventing initial accident-cause data from being deleted over time. The method includes acquiring driving data including image data, setting a weight value corresponding to an average impulse value and calculating a priority index, selecting a block having a lowest priority index and storing the driving data in the selected block if the capacity of the volatile memory is full, determining whether a timer starts, and reading out all data stored in the volatile memory and storing the read data in the non-volatile memory if the predetermined amount of time has elapsed.