Navigation Map Fusion for Mismatched Update Cycles
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Solution Overview
Problem
Existing map information systems often experience incongruity between provided map data and the actual road environment due to infrequent updates, leading to discrepancies that affect navigation accuracy and user experience.
Innovation Solution
A system that combines map information with different updating periods, integrating high-consistency map data from autonomous driving systems with navigation data to provide updated and complementary information, while suppressing visual incongruities by differentiating or omitting outdated elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If map information is updated at fixed intervals to reduce updating costs, then updating costs are reduced, but map information becomes outdated and incongruity with actual road environment increases
Solution Approach 1:
The patent combines map information from multiple sources including autonomous driving systems, navigation systems, and server updates. By merging these different data streams, the system achieves more frequent and accurate map updates without proportionally increasing costs, as each source contributes differently timed and typed information.
Solution Approach 2:
The system serves multiple functions simultaneously: it processes map information for autonomous driving, navigation guidance, and server-based updates. This multi-functionality allows the same infrastructure to handle diverse update sources, reducing overall system costs while maintaining high accuracy through comprehensive data integration.
2Reliability
If map information is updated frequently to maintain accuracy, then map information accuracy is improved, but updating costs and processing time increase
Solution Approach 1:
The patent segments map information into different types and update frequencies based on source reliability and information criticality. High-priority information from autonomous driving systems is processed differently from routine navigation data, allowing selective updating that maintains accuracy while reducing overall processing complexity.
Solution Approach 2:
The system dynamically adjusts update strategies based on current needs, source reliability, and information type. Rather than applying a static update schedule, the system flexibly prioritizes updates from more reliable sources when accuracy is critical, reducing processing complexity through adaptive decision-making.
3Measurement precision
If multiple map information sources are integrated to reduce incongruity, then navigation accuracy is improved, but system complexity increases
Solution Approach 1:
The patent applies different processing qualities to different portions of map information based on source reliability and local requirements. High-priority areas with frequent changes receive more intensive processing from multiple sources, while stable areas use simpler update mechanisms, reducing overall system complexity while maintaining high navigation accuracy where needed.
Solution Approach 2:
The system introduces intermediary processing layers that harmonize data from multiple sources before integration. These intermediaries standardize different data formats and update timings, making the integration of autonomous driving data, navigation data, and server updates more manageable and reducing the complexity of direct multi-source integration.
Data Source
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AI summary
A map information-providing system, a map information-providing method, and a map information-providing program which can provide map information while suppressing incongruity a recipient feels are provided. A navigation system (1) (map information-providing system) includes a storage unit (10) storing map information for navigation (11) (first map information) and map information for autonomous driving (12) (second map information) an updating period thereof is different from the map information for navigation (11) with respect to at least a portion of a period of time, and a map information-providing unit (40) which provides map information by combining the map information for navigation (11) with the map information for autonomous driving (12) in a case where the map information for autonomous driving (12) had been updated based on newer information than the map information for navigation (11) at a time of providing the map information.