Vehicle Data Compensation With Quality Indicators
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Solution Overview
Problem
Existing vehicle data processing technologies fail to ensure accurate vehicle control when data interpolation is performed, leading to decreased driver reliability due to the lack of differentiation between original and interpolated data, potentially resulting in inappropriate vehicle control based on inaccurate information.
Innovation Solution
A vehicle device comprising a data acquisition unit, a compensation unit, and an output unit that acquires data via communication, compensates for data losses by generating assistive data with associated compensation implementation values, and outputs this data to a travel assistance device, allowing it to determine the suitability of the data for use in travel assistance, thereby preventing the use of inaccurate data for vehicle control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If data interpolation is performed to compensate for data loss, then data continuity is improved, but data accuracy deteriorates
Solution Approach 1:
The patent applies local quality by associating different quality indicators with different data portions. Successfully acquired data is marked with high reliability indicators, while interpolated data is marked with low reliability indicators. This allows the system to maintain data continuity through interpolation while preserving accuracy information through differential quality marking, enabling downstream systems to selectively use or discard data based on quality requirements.
2Adaptability or versatility
If interpolated data is used for vehicle control, then data availability is improved, but control reliability deteriorates
Solution Approach 1:
The patent introduces an intermediary mechanism in the form of quality indicators that mediate between interpolated data and vehicle control systems. These indicators act as a filtering layer, allowing the system to maintain data availability by preserving interpolated data in the system while preventing unreliable data from reaching critical control decisions. The quality indicators enable downstream systems to make informed decisions about data usage without directly processing the raw interpolated values.
3Ease of operation
If compensation processing is performed without distinction, then processing simplicity is maintained, but data quality differentiation is lost
Solution Approach 1:
The patent applies preliminary action by associating quality indicators with data at the moment of acquisition or interpolation. This upfront marking of data quality ensures that information about data reliability is preserved without adding complexity to subsequent processing steps. By performing the quality differentiation action early in the data pipeline, the system maintains processing simplicity while preventing loss of quality information that would otherwise require complex tracking mechanisms later.
Data Source
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AI summary
A vehicle device is used for a vehicle and includes a data acquisition unit (141), a compensation unit (143), and an output unit (105). The data acquisition unit acquires data successively transmitted from outside a subject vehicle via communication. The compensation unit compensates a data loss resulting from unsuccessfully acquiring of data in the data acquisition unit by using data already acquired by the data acquisition unit and generates assistive data used for travel assistance of the subject vehicle. The compensation unit associates with the assistive data a compensation implementation value indicating an implementation of the compensation. The output unit outputs the assistive data associated with the compensation implementation value to a travel assistance device (70) for performing the travel assistance when the compensation unit generates the assistive data by compensating the data loss. Accordingly, decrease of driver's reliability for travel assistance using data acquired through communication is restricted.