Map-Filtered Positioning for GNSS and Sensor Route Estimation
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Solution Overview
Problem
Existing wireless communication systems, particularly in the context of 5G-based vehicle-to-everything (V2X) applications, face challenges in accurately determining the position of user devices due to the complexity of integrating global navigation satellite system (GNSS) data with sensor-based trajectories and map data, leading to inefficiencies in autonomous driving systems.
Innovation Solution
A method and apparatus that filter map data based on GNSS positions and sensor-based trajectories to determine a precise position estimate for user devices, utilizing means for obtaining and processing filtered map data to enhance positioning accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If map data is directly used for positioning without filtering, then positioning operation is simpler and faster, but positioning accuracy deteriorates due to irrelevant or incorrect route information
Solution Approach 1:
The patent applies preliminary action by filtering map data before using it for positioning operations. The system pre-processes map data by removing irrelevant or incorrect route information based on criteria such as road validity, accessibility, and consistency with sensor data, thereby ensuring that only reliable data is used for positioning while maintaining operational simplicity
Solution Approach 2:
The patent extracts and removes problematic elements from the map data. By identifying and taking out irrelevant routes, incorrect path information, and inconsistent data points, the system maintains positioning accuracy without being burdened by erroneous information, thus resolving the contradiction between accuracy and complexity
2Reliability
If GNSS and sensor data are integrated without filtering, then more data sources are available for positioning, but positioning reliability deteriorates due to inconsistent or erroneous data
Solution Approach 1:
The patent applies local quality by evaluating different portions of map data with different criteria. Instead of treating all map data uniformly, the system assesses the reliability of specific route segments, intersections, and geographic areas individually, applying appropriate filtering criteria to each local region to maximize overall positioning reliability
Solution Approach 2:
The patent implements feedback mechanisms where sensor data continuously validates and refines the filtered map data. The system uses real-time sensor measurements to verify positioning results against the filtered map, creating a feedback loop that improves reliability by correcting inconsistencies and eliminating erroneous data points
3Productivity
If comprehensive map data is used for positioning, then positioning coverage is more extensive, but processing time increases due to the volume of data to be processed
Solution Approach 1:
The patent segments the comprehensive map data into manageable portions based on spatial proximity and relevance to the current positioning task. By dividing the large map dataset into smaller, localized segments that are most relevant to the device's current location and expected trajectory, the system maintains extensive coverage capability while significantly reducing processing time through focused computation on only the necessary data segments
Data Source
AI summary
In a wireless system, a user device or a server obtains a global navigation satellite system (GNSS) position of the user device, a sensor-based trajectory of the user device, or both. The user device or the server filters map data indicating possible routes of the user device based on one or more criteria associated with the GNSS position, the sensor-based trajectory, or both to obtain filtered map data. The user device or the server determines a position estimate for the user device based on the filtered map data.