Vehicle Data Processing Apparatus for Sudden Braking Cause Analysis
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Solution Overview
Problem
Current systems for processing moving image data from vehicle drive recorders are time-consuming due to the need for manual analysis of large datasets to understand the cause of specific vehicle behaviors like sudden braking.
Innovation Solution
A data processing apparatus that acquires behavioral and object information during the image capturing period and determines the cause of specific vehicle behaviors by analyzing this data, allowing for efficient identification of the cause of sudden braking events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual checking of moving image data is performed to understand the cause of specific vehicle behaviors, then understanding accuracy is improved, but time consumption increases
Solution Approach 1:
The system performs preliminary analysis by acquiring behavioral information and object information before the main cause determination process. This preliminary action prepares the data in advance, allowing the cause determination to proceed efficiently without manual checking while maintaining accurate understanding of the incident cause.
Solution Approach 2:
The system introduces an intermediary processing layer that automatically analyzes behavioral information and object information to determine the cause of specific behaviors. This intermediary automation mediates between the raw data and the final understanding, eliminating the need for manual checking while preserving accuracy.
2Reliability
If all moving image data is reproduced and checked to identify cause of incidents, then completeness of analysis is improved, but productivity decreases
Solution Approach 1:
The system extracts only the necessary information (behavioral information and object information) required to determine the cause of specific behaviors, rather than processing all moving image data. This extraction approach maintains complete and reliable cause analysis while significantly improving productivity by avoiding unnecessary data processing.
Solution Approach 2:
The system performs partial action by focusing only on the specific period when the specific behavior occurs and extracting relevant information during that period. This partial processing approach ensures reliable cause determination while improving productivity by avoiding the excessive action of processing entire moving image datasets.
3Measurement precision
If detailed manual analysis is performed on each incident to understand driver behavior, then accuracy of cause determination is improved, but operational efficiency deteriorates
Solution Approach 1:
The system performs self-service by automatically acquiring behavioral information, acquiring object information, and determining the cause of specific behaviors without requiring manual analysis. This automation maintains accurate cause determination while dramatically improving operational efficiency, as the system serves itself rather than requiring human operators to perform detailed analysis.
Data Source
AI summary
A data processing apparatus processes moving image data that shows a vicinity of a vehicle and that is recorded while the vehicle is running. The data processing apparatus includes a controller configured to: acquire behavioral information on a specific behavior of the vehicle during an image capturing period of the moving image data; acquire object information on an object in the vicinity of the vehicle during the image capturing period of the moving image data; and determine a cause of the specific behavior of the vehicle based on the behavioral information and the object information.