Vehicle Navigation Guidance Update via Deviation Point Imaging
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Drivers often mistake right turn points due to outdated or inaccurate navigation guidance, causing their vehicles to deviate from the intended guidance route.
Innovation Solution
A server apparatus and information processing method that acquire images of specific points where vehicle routes deviate from guidance routes, allowing for the generation of updated traveling guidance information that reflects the actual conditions at these points.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional navigation guidance is used, then the guidance route is provided, but drivers may mistake the right turn point and deviate from the guidance route
Solution Approach 1:
The system uses feedback from actual vehicle travel data and images captured at deviation points to continuously improve and update navigation guidance information. The server apparatus receives travel route information and images from vehicles, analyzes them to identify accurate markers and guidance points, and updates the guidance information accordingly, creating a closed-loop feedback mechanism that improves guidance accuracy over time.
Solution Approach 2:
The system creates copies of real-world scenes through images captured by vehicles at specific points, then uses these image copies to generate and update virtual guidance information. The images serve as references for creating accurate digital representations of the environment, which are then used to generate updated guidance routes and markers.
2Reliability
If navigation guidance information is updated frequently, then guidance accuracy improves, but system complexity increases
Solution Approach 1:
The system segments the navigation guidance into discrete units associated with specific markers and deviation points. Each guidance segment is independently updated based on local image analysis and travel data, allowing targeted improvements without requiring complete system redesign. This modular approach reduces overall system complexity while maintaining high accuracy.
Solution Approach 2:
The server apparatus acts as an intermediary between vehicle-mounted cameras and the navigation guidance system. It receives images and travel data from vehicles, processes this information to identify accurate guidance points, and updates the guidance information accordingly. This intermediary role distributes the complexity across multiple components rather than concentrating it in a single system.
Data Source
AI summary
A vehicle includes a processor configured to receive information for traveling guidance, which is generated based on an image of a specific point. The image of the specific point is captured by another vehicle, and the specific point is a point at which a traveling route of a different vehicle deviates from a guidance route.