Map Data Quality Assessment Interface for Vehicle Navigation
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Solution Overview
Problem
Current vehicle systems that rely on map data for navigation and fuel efficiency, such as cruise controls and automatic gear changing, are prone to making suboptimal decisions due to errors in map data, leading to increased fuel consumption and uncertainty for drivers.
Innovation Solution
A user interface system that analyzes and visually presents the quality of map data, allowing drivers to assess reliability and make informed decisions about using map-based systems, by determining the availability and reliability of map data and providing a graphical representation of map data quality, enabling the use of self-estimated data when errors are identified.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If map data are used for navigation and fuel efficiency systems, then system functionality is improved, but reliability deteriorates due to errors in map data
Solution Approach 1:
The patent introduces an intermediary quality assessment system that evaluates map data reliability before the data is used by navigation and fuel efficiency systems. This intermediary layer analyzes map data quality indicators and provides reliability assessments, allowing the main systems to function while accounting for data quality uncertainties through the mediating quality evaluation mechanism.
2Reliability
If map data quality assessment is implemented, then decision reliability is improved, but device complexity increases
Solution Approach 1:
The patent segments the quality assessment function into distinct modular components that evaluate different aspects of map data quality separately. This segmentation allows the complex assessment task to be divided into manageable modules, each handling specific quality indicators, thereby improving decision reliability while organizing system complexity into structured, maintainable segments.
3Ease of operation
If drivers are provided with map data quality information, then ease of operation is improved, but information processing requirements increase
Solution Approach 1:
The patent extracts only the most critical quality indicators from the comprehensive map data quality assessment and presents these selected key indicators to the driver. This extraction approach provides drivers with essential quality information for easy decision-making while filtering out excessive detail that would otherwise increase information processing requirements and cognitive load.
Data Source
AI summary
A system having a user interface which presents map data Dmap. An analysis unit analyzes map data Dmap, determining a quality Q for these map data Dmap which are to be presented. The determination is based on whether the respective map data Dmap are available and/or reliable. The quality Q is presented graphically by a presentation unit. The risk of wrong decisions being taken on the basis of deficient map data Dmap is reduced considerably, since the user can easily decide whether there are reliable map data or not.