Unified Video Sensor Data Structure for Temporal Correlation
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Solution Overview
Problem
Existing systems fail to efficiently store and temporally relate video and sensor data from vehicles, making it difficult to assess driver performance effectively.
Innovation Solution
A method and apparatus that store video and sensor data in a unified data structure with precise timing information, allowing for efficient playback and comparison, using a data processor that integrates video cameras, sensors, and a storage device, with data structured according to the MPEG-4 Part 14 standard, enabling efficient memory and processor usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If video and sensor data are stored separately in existing systems, then data storage is possible, but efficient storage with precise timing information and temporal correlation is achieved
Solution Approach 1:
The patent combines video data and sensor data into a single unified data structure (e.g., a common data container or file format) that stores both types of data together with synchronized timestamps. This merging approach enables precise temporal correlation between video frames and sensor readings while maintaining efficient storage and retrieval, directly resolving the contradiction between timing precision and structural complexity.
2Reliability
If video and sensor data are stored with detailed timing information, then temporal correlation is improved, but storage efficiency is reduced
Solution Approach 1:
The patent applies local quality by storing timing information selectively and efficiently within the unified data structure. Instead of redundantly storing complete timestamps for every data element, the system uses relative timing offsets, delta timestamps, or event-based timing markers only where needed to maintain temporal correlation. This approach preserves temporal accuracy while minimizing the overall data volume required.
3Ease of operation
If multiple data types are integrated in a unified structure, then playback and comparison are facilitated, but processing complexity increases
Solution Approach 1:
The patent creates a universal data structure that can accommodate multiple data types (video, sensor readings, metadata) with a common interface and standardized timing mechanism. This multi-functional structure allows the same playback and analysis tools to handle different data types uniformly, facilitating ease of operation while managing processing complexity through standardization and modular design.
Data Source
AI summary
Processing video and sensor data associated with a vehicle Apparatus (5) is configured to: obtain first data corresponding to video data from a video camera (6) associated with a vehicle; obtain second data corresponding to sensor data from one or more sensors (8) associated with the vehicle; form a data structure including metadata and the first and second data, wherein first timing information for the first data is included in the metadata and second timing information for the second data is included in the second data, wherein the first and second timing information enable the first and second data to be temporally related.