Vehicle Position Correction Using GNSS and Map Objects
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Solution Overview
Problem
Current vehicle positioning methods using global satellite navigation systems (GNSS) achieve only a maximum accuracy of 1 meter, which is inadequate for lane-accurate location and is heavily dependent on the quality of digital map data.
Innovation Solution
A method that determines a vehicle's position by using GNSS, digital maps, and sensors to identify nearby objects, calculating real and virtual distances, and iteratively adjusting the map or vehicle position to minimize deviations, employing techniques like least squares minimization for precise positioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GNSS positioning is used to determine vehicle position, then the positioning system is simple to implement, but the positioning accuracy is insufficient (maximum 1m accuracy, not adequate for lane-accurate location)
Solution Approach 1:
The patent combines multiple positioning methods (GNSS, map matching, sensor-based object detection) into a unified positioning system. The system merges satellite-based positioning with ground-based sensor measurements and digital map data to achieve lane-accurate positioning that exceeds the capabilities of any single method alone.
Solution Approach 2:
The patent introduces digital map data and identified objects (landmarks) as intermediary reference points between the vehicle and the positioning system. These intermediaries provide additional geometric constraints that enable more accurate position calculation by comparing expected distances from the map with actual sensor measurements.
2Measurement precision
If map matching is used to improve positioning accuracy by fitting GNSS position to road geometry, then positioning accuracy improves, but the accuracy heavily depends on the quality of digital map data
Solution Approach 1:
The patent implements a feedback mechanism where sensor measurements of distances to identified objects are compared with distances calculated from the digital map. This feedback loop allows the system to detect and correct deviations between the vehicle's actual position and the map-based position, compensating for map data inaccuracies and maintaining reliable positioning even with outdated or imprecise map data.
3Measurement precision
If multiple objects are detected and used for position correction, then positioning precision improves, but the computational complexity and data processing requirements increase
Solution Approach 1:
The patent segments the positioning problem into distinct steps: identifying objects in the environment, measuring distances to these objects, calculating expected distances from the digital map, and minimizing deviations. This segmentation allows the system to process complex multi-object data in manageable stages, reducing overall computational complexity while maintaining high positioning accuracy.
Data Source
AI summary
The invention relates to a method for correcting a position of a vehicle using a global satellite navigation system (GNSS) for determining the own position, comprising the following steps: establishing a first position of the with the GNSS, establishing a second position of the vehicle by fitting the first position into a street of a digital map, identifying at least one object in the surroundings of the vehicle, the position of which is referenceable in the digital map, establishing a real distance between the vehicle and the respective object by means of a sensor of the vehicle, calculating a calculated distance between the second position and the respective object, wherein a corrected position of the vehicle is established by minimizing the deviation of the calculated distance from the real distance.