Vehicle Map Update Processing With Precision and Confidence
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Solution Overview
Problem
The reliability of map update data received by vehicle terminals is uncertain due to variations in sensor performance and stability among different vehicle terminals, which compromises the security of navigation using these data.
Innovation Solution
A computing apparatus determines map update data and associated precision and confidence information based on data collected by vehicle terminals, sending this information to the terminals to enhance their ability to assess the credibility and reliability of the updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If map update data is collected from multiple vehicle terminals with different sensor performances, then the quantity of map update data increases, but the reliability of the map update data decreases
Solution Approach 1:
The system implements a feedback mechanism where vehicle terminals send detection results to the server, and the server returns precision and confidence information about the map update data. This feedback loop allows terminals to assess the quality of received data and make informed decisions about whether to use it for navigation, thereby maintaining reliability while processing data from multiple sources.
Solution Approach 2:
The server acts as an intermediary between multiple vehicle terminals with different sensor performances. It collects detection results from various terminals, processes them to determine precision and confidence information, and then distributes the processed map update data back to terminals. This intermediary role standardizes and quality-controls the data flow, ensuring reliability despite heterogeneous sensor sources.
2Productivity
If map update data is used without verification, then the productivity of navigation system increases, but the security of navigation decreases
Solution Approach 1:
The system performs preliminary verification of map update data by calculating and attaching precision and confidence information before the data is used for navigation. This advance quality assessment allows navigation systems to quickly evaluate data reliability without compromising security, maintaining both efficiency and safety.
3Reliability
If precision and confidence information is added to map update data, then the reliability of data assessment improves, but the complexity of data processing increases
Solution Approach 1:
Instead of uniformly processing all map update data with complex verification algorithms, the system applies different levels of quality assessment locally. The server calculates precision and confidence information selectively based on the specific characteristics of each detection result, adding quality metadata only where needed without overwhelming computational overhead.
Data Source
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AI summary
This application provides a map update data processing method, apparatus, and system, and relates to the field of autonomous driving technologies. The method includes: obtaining first information from at least one vehicle terminal in a time window, where the vehicle terminal may be a smart vehicle, and the first information does not match corresponding second information in a local map stored in the vehicle terminal; determining, based on the first information, first change information of the second information and precision information and/or confidence information corresponding to the first change information, where the first change information is information about a difference between the first information and the second information; and finally, sending the first change information of the second information and the precision information and/or the confidence information corresponding to the first change information to the at least one vehicle terminal, where the precision information and/or the confidence information corresponding to the first change information is used by the vehicle terminal to determine whether to use the first change information of the second information. The solution provided in this application may be used to improve reliability of crowdsourced map update data.