Vehicle Lane Positioning Using Road-Map Mismatch Feedback
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Solution Overview
Problem
Traditional vehicle positioning methods, such as those using GPS, struggle to accurately determine the lane position of autonomous vehicles, especially in complex environments, and rely on costly high-precision RTK systems, which are not stable or effective in handling interference and occlusions.
Innovation Solution
A vehicle positioning method that determines the current lane based on vehicle position, road information, and map data, continuously monitors this lane by comparing real-time road information with the established lane, and re-determines the lane when a mismatch integral value exceeds a preset threshold, eliminating the need for RTK systems and improving stability and interference prevention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional GPS positioning is used, then the positioning system is simple and low cost, but the lane positioning accuracy is insufficient
Solution Approach 1:
The patent introduces road information (lane lines, road edges, traffic signs) as an intermediary element to bridge GPS positioning and lane determination. By matching sensed road information with map information, the system achieves accurate lane positioning without requiring complex high-precision hardware like RTK
Solution Approach 2:
The patent replaces the mechanical/high-precision positioning system (RTK) with an information-processing approach that uses camera sensors to capture road information and algorithmic matching to determine lane position, thereby reducing device complexity while maintaining or improving accuracy
2Measurement precision
If RTK high-precision positioning is used, then the lane positioning accuracy is improved, but the cost increases and application scope is limited
Solution Approach 1:
The patent uses standard GPS receivers and camera sensors (cheap, widely available components) instead of expensive RTK equipment. The system processes transient road information captured by sensors to continuously determine lane position, achieving high precision without high cost
Solution Approach 2:
The patent makes the positioning system universal by using standard sensors and open-map data that can be applied across different vehicles and environments. The road information matching approach works in various conditions where RTK may be limited, expanding application scope
3Reliability
If traditional lane positioning method is used, then the system is simple, but the stability and interference prevention capability are poor in complex environments
Solution Approach 1:
The patent implements continuous feedback by repeatedly matching sensed road information with map information and adjusting lane position determination accordingly. This closed-loop approach enhances reliability in complex environments by constantly verifying and correcting position based on current road conditions
Solution Approach 2:
The patent combines multiple information sources (GPS coordinates, sensed lane lines, road edges, traffic signs, and map data) into a composite positioning approach. This multi-information fusion provides robustness and interference prevention capability while maintaining system simplicity
Data Source
AI summary
A vehicle positioning method and apparatus, an electronic device, and a storage medium are provided. The method comprises: determining a current positioning-established lane on the basis of current position information of a vehicle, road information sensed by the vehicle and map information; comparing the road information sensed by the vehicle acquired in real time with the current positioning-established lane to determine a mismatch integral value; and after determining that the mismatch integral value is greater than or equal to a preset integral value, returning to execute the step of determining the current positioning-established lane on the basis of the current position information of the vehicle, the road information sensed by the vehicle and map information.