Vehicle Positioning via Multi-Dimensional Road Feature Matching
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Solution Overview
Problem
Existing vehicle positioning methods face challenges in achieving high accuracy due to single-dimensional matching, leading to low reliability of position information, which can result in incorrect lane line identification and subsequent navigation errors.
Innovation Solution
A vehicle positioning method that obtains perceptual information from sensors and high-precision map data, including lane line, curb, and guardrail information, to determine matching information across multiple dimensions, improving the accuracy and reliability of position determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If single-dimensional matching is used for vehicle positioning, then the positioning process is simple, but the accuracy and reliability of position information is low
Solution Approach 1:
The patent transitions from single-dimensional lane line matching to multi-dimensional matching by incorporating curb information and guardrail information alongside lane line information. This dimensional expansion allows the system to match multiple types of road features simultaneously, significantly improving positioning accuracy and reliability while resolving the contradiction between simplicity and precision
2Ease of operation
If single-dimensional matching is used for vehicle positioning, then the system is easy to operate, but the reliability of position information is low
Solution Approach 1:
The patent merges multiple information sources (lane line information, curb information, and guardrail information) into a unified matching framework. By combining these different types of road features, the system achieves more reliable position information while maintaining operational simplicity through automated multi-dimensional comparison algorithms
Data Source
AI summary
Embodiments of the present application disclose a vehicle positioning method, an apparatus, an electronic device, a vehicle and a storage medium, and relate to the field of automatic driving technology. A specific implementation includes: obtaining perceptual information of a lane where a vehicle is located, and obtaining high-precision information of the lane from a preset high-precision map, where the perceptual information and the high-precision information both include lane line information, and both include curb information and/or guardrail information; determining matching information of the perceptual information and the high-precision information; generating position information of the vehicle according to the matching information.