Server-Guided Reference Selection for Vehicle Positioning
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Solution Overview
Problem
Conventional vehicle positioning methods using satellite signals, inertial measurement units, and laser or visual sensors face challenges due to dirty, aged, or blocked reference objects, leading to reduced precision and unsafe autonomous driving.
Innovation Solution
A server selects and provides applicable reference objects to a terminal device based on location and environment information, using matching parameters to improve positioning precision by excluding damaged or blocked objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If feature matching-based positioning is used with laser radar or visual sensors, then positioning function can be implemented, but positioning precision is reduced when reference objects are dirty, aged, or blocked
Solution Approach 1:
The server pre-processes and manages reference object data in advance, maintaining an updated database of reference objects with their feature values. This preliminary preparation allows the terminal device to quickly access reliable reference objects without real-time processing delays, ensuring positioning precision even when some reference objects are degraded or blocked.
Solution Approach 2:
The server acts as an intermediary between the terminal device and the reference objects. It collects, validates, and manages reference object data, then provides filtered and verified reference object information to the terminal device. This intermediary role ensures that the terminal device receives only reliable reference object data, eliminating the impact of dirty, aged, or blocked reference objects on positioning precision.
2Measurement precision
If multiple positioning methods are combined, then positioning function is achieved, but system complexity increases
Solution Approach 1:
The patent combines satellite signal positioning, inertial measurement unit positioning, and feature matching-based positioning into a unified positioning system. The server integrates data from multiple positioning methods and reference objects, performing fusion processing to generate accurate location information. This merging approach achieves high positioning precision while managing system complexity through centralized server processing.
Solution Approach 2:
The server performs multiple functions: it manages reference object data, processes positioning information from various sources, and provides location services to terminal devices. This multi-functional design consolidates complexity into a single platform, allowing the system to achieve high positioning precision through integrated processing rather than separate complex subsystems.
Data Source
AI summary
The present disclosure relates to positioning methods, systems, and apparatuses. One example method includes receiving, by a server, a first message from a first terminal device, where the first message includes first location information determined by the first terminal device, determining, by the server, a first reference object based on the first location information, and sending, by the server, a second message to the first terminal device, where the second message includes identification information of the first reference object, and the identification information of the first reference object is used by the first terminal device to update the first location information.


