Vehicle Electronic Map Updating Using Predicted-State Deviations
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Solution Overview
Problem
Existing electronic maps in vehicles are costly and difficult to maintain due to the need for large amounts of data, with most data being irrelevant to the vehicle's specific route, and current methods for updating maps are inefficient.
Innovation Solution
A method that calculates a predicted state of the vehicle using motion data and compares it to the actual state, storing only deviations to update the map, thereby reducing data requirements and enabling autonomous map creation within the vehicle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If large amounts of map data are stored in the vehicle, then navigation coverage and completeness are improved, but data storage requirements and cost increase
Solution Approach 1:
The patent extracts only the essential navigation parameters needed for vehicle guidance from complete map data. Instead of storing entire map datasets, the system stores extracted route information including position coordinates, speed limits, and navigation-relevant parameters, reducing data storage while maintaining navigation functionality.
Solution Approach 2:
The patent implements local quality by storing map data selectively based on relevance to the vehicle's current route and navigation needs. The system updates and stores only the local map sections that are actually needed for navigation, rather than uniformly storing all map data, thereby optimizing storage efficiency.
2Measurement precision
If complete map data is updated frequently, then navigation accuracy is improved, but update complexity and processing time increase
Solution Approach 1:
The system extracts only the changes and updates that are actually needed from incoming map data, rather than processing complete map datasets. This extraction approach reduces update complexity by focusing only on relevant modifications such as changed route parameters or updated position information.
Solution Approach 2:
The patent applies partial action by performing selective updates only on the portions of map data that have changed or are relevant to current navigation. Instead of completely reprocessing all map data during updates, the system processes only the necessary partial updates, reducing computational complexity and processing time.
3Speed
If map data is processed in real-time, then navigation responsiveness is improved, but computational load increases
Solution Approach 1:
The system extracts and processes only the essential real-time parameters needed for navigation decisions, such as current position, speed, and immediate route information. This selective extraction reduces computational load while maintaining real-time responsiveness by avoiding processing of unnecessary data.
Solution Approach 2:
The patent implements partial processing by performing computational operations only on the subset of map data that is currently relevant to the vehicle's position and navigation needs. This approach enables real-time processing responsiveness while minimizing computational energy consumption by avoiding unnecessary calculations on irrelevant data.
Data Source
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AI summary
The invention relates to a method for updating an electronic card in a vehicle based on a deviation between predicted states and actual states.