Map Information System Matching Verification for Automated Driving
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Solution Overview
Problem
Conventional map management systems generate unnecessary difference information when feature changes detected by vehicle sensors exceed allowable ranges, leading to inefficiencies in maintaining accurate map data for automated driving applications.
Innovation Solution
A map information system that generates matching information only when periphery information detected by vehicle sensors matches map information within an allowable range, reducing the transmission of difference information and focusing on verifying the correctness of map data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If difference information is generated whenever feature changes are detected by vehicle sensors, then map data accuracy is improved, but unnecessary data transmission and processing loads increase when changes exceed allowable ranges
Solution Approach 1:
The system changes the parameter of information generation from binary (generate/don't generate) to conditional (generate matching information only when difference ≤ allowable range). This filters out unnecessary difference information while preserving reliable matching data, resolving the contradiction between map accuracy and processing efficiency
Solution Approach 2:
The system extracts only the useful portion of sensor data - matching information that confirms map accuracy within allowable ranges - while discarding unnecessary difference information. This selective extraction improves processing efficiency without sacrificing map data reliability
2Reliability
If all detected feature changes are transmitted to the map management server, then complete map updates are achieved, but communication bandwidth and server processing loads increase
Solution Approach 1:
The system extracts only matching information that falls within allowable ranges, filtering out excessive difference information. This reduces communication bandwidth consumption and server processing loads while maintaining complete and accurate map updates
Solution Approach 2:
The system changes the transmission criterion from transmitting all differences to transmitting only matching information within allowable ranges. This parameter change optimizes resource usage while ensuring map data completeness
3Measurement precision
If strict matching criteria are applied to verify periphery information against map data, then map data accuracy is improved, but more data is flagged as differences requiring updates
Solution Approach 1:
The system introduces an allowable range parameter that transforms strict matching into flexible matching. This resolves the contradiction by maintaining measurement precision through systematic comparison while reducing unnecessary updates through tolerance-based acceptance
Data Source
AI summary
A map information system manages map information stored in a storage unit in a vehicle. The map information system includes an information generation unit that generates matching information indicating that periphery information, which is detected by a periphery detection sensor mounted on the vehicle, and the map information match each other when a difference between the periphery information and the map information is within an allowable range. The information generation unit does not generate difference information indicating that the periphery information and the map information do not match when the difference is out of the allowable range.