Vehicle Positioning Using Regular Structure Comparison
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Solution Overview
Problem
Existing methods for determining a vehicle's precise position are imprecise, especially when environment features resemble each other and regularly repeat, making safe automated vehicle operation impossible due to uncertainty in position determination.
Innovation Solution
The method senses environment data values, particularly regular structures, and compares them with a digital map to determine a highly precise position, utilizing independent regular structures and their relations to enhance precision and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional position determination methods are used based on environment features, then the system can operate with simple sensing, but the position precision deteriorates when environment features resemble each other and regularly repeat
Solution Approach 1:
The patent segments the position determination process into multiple independent steps: sensing environment features, detecting regular structures, determining spatial relationships, comparing with map data, and calculating position. This segmentation allows each step to be optimized independently, improving overall precision while maintaining system reliability even when individual features are ambiguous
Solution Approach 2:
The patent transitions from determining position based solely on individual environment features to analyzing the spatial relationships and regular structures formed by multiple features. By adding the dimension of spatial pattern recognition and structural analysis, the system achieves higher position precision even when individual features resemble each other
2Reliability
If the vehicle operates in fully automated mode requiring high position precision, then safety is improved, but the complexity of the position determination system increases
Solution Approach 1:
The patent performs preliminary detection of regular structures and spatial relationships among environment features before final position calculation. By pre-identifying patterns and structures in the environment data, the system reduces the computational complexity of the final position determination step while maintaining high precision requirements for safe automated operation
Solution Approach 2:
The patent introduces map data as an intermediary reference system. The detected regular structures in the environment are compared against stored map data to determine position, rather than directly calculating position from raw sensor data. This intermediary step simplifies the overall system complexity while enabling high-precision positioning for fully automated vehicle operation
3Ease of operation
If individual environment features are used for position determination, then the sensing process is simple, but imprecision occurs when features resemble one another and regularly repeat
Solution Approach 1:
The patent merges information from multiple individual environment features to detect regular structures and spatial relationships. By combining data from multiple features rather than relying on individual features, the system maintains simple sensing operations while achieving high position determination accuracy even when features resemble each other
Data Source
AI summary
A method and a device for determining a highly precise position of a vehicle. The method includes a step of sensing environment data values, which represent an environment of the vehicle, the environment encompassing multiple environment features which have at least one regular structure, and the environment data values at least encompassing the at least one regular structure; a step of carrying out a comparison of the environment data values with a map; a step of determining the highly precise position of the vehicle as a function of the comparison; and a step of supplying a signal on the basis of the highly precise position.