Vehicle Location Data Correction via Selective Stream Extraction
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Solution Overview
Problem
Conventional georeferencing techniques are time-consuming, inefficient, and produce inaccurate results due to the need for massive data transfer and reliance on satellite correction systems that are not accurate enough for real-time applications, especially in applications requiring high precision such as autonomous driving and city planning.
Innovation Solution
A method and system where a vehicle acquires a planned route and records location measurement data, using a location measurement system to determine relative object locations and correct location data by acquiring a relevant portion of location correction data streams from a server system, minimizing data transfer and processing time, and enabling accurate georeferencing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional georeferencing techniques upload massive sensor data to cloud servers for processing, then georeferencing can be performed with comprehensive data analysis, but the process becomes extremely time-consuming and inefficient
Solution Approach 1:
The patent extracts and processes only the necessary location correction data from the massive sensor data set, rather than uploading and processing all raw sensor data. The system identifies and utilizes only the relevant correction data needed for georeferencing, significantly reducing data transfer and processing time while maintaining accuracy requirements.
Solution Approach 2:
The system performs preliminary processing of sensor data to identify and extract location correction data before georeferencing operations. By pre-processing and organizing the data structure, the system prepares only the essential correction information for subsequent georeferencing tasks, avoiding the need to process entire datasets during actual georeferencing operations.
2Measurement precision
If satellite correction data from multiple base stations is used simultaneously to achieve high accuracy positioning, then positioning precision improves, but data acquisition complexity and time requirements increase
Solution Approach 1:
The system extracts and utilizes only the specific location correction data needed for the vehicle's current position and trajectory, rather than simultaneously acquiring and processing data from all available base stations. This selective extraction reduces system complexity while maintaining the accuracy benefits of multi-base station correction data.
3Measurement precision
If all satellite correction data from multiple base stations is acquired and processed simultaneously, then positioning accuracy is maximized, but the data transfer and processing burden increases significantly
Solution Approach 1:
The system extracts only the necessary location correction data from multiple base stations based on the vehicle's position, trajectory, and specific georeferencing needs. This selective extraction dramatically reduces the volume of data that needs to be transferred and processed while preserving the accuracy benefits of using multiple base station sources.
Solution Approach 2:
The system performs preliminary filtering and identification of relevant correction data from multiple base stations before actual georeferencing operations. By pre-identifying which base station data is relevant to the current task, the system minimizes data transfer volume while ensuring all necessary correction information is available.
4Measurement precision
If conventional offline georeferencing processes are used where data is transferred to servers for processing, then comprehensive georeferencing can be performed, but security risks arise for sensitive data
Solution Approach 1:
The system enables the vehicle to perform georeferencing operations locally using onboard processing capabilities and extracted location correction data, rather than requiring data to be transferred to external servers. This self-service approach allows comprehensive georeferencing to be performed while keeping sensitive data local, thereby maintaining security.
Solution Approach 2:
The system extracts only the essential location correction data needed for georeferencing, separating this necessary information from the larger set of sensitive sensor data. By transferring only the extracted correction data rather than all raw sensor data, the system reduces security risks associated with data transfer while maintaining georeferencing accuracy.
Data Source
AI summary
A method for correcting errors in location data. The method provides a planned route of travel of vehicle to server system. The vehicle uses planned route to travel on a route of travel. The vehicle records location measurement raw data of vehicle using location measurement system in vehicle during travel. Moreover, the vehicle determines a relative location of each object of a plurality of objects present in a vicinity of the route of travel. The vehicle acquires a portion of a first set of location correction data streams from the server system. The vehicle utilizes the acquired portion of the first set to determine errors in the location measurement raw data to derive correct location data of the vehicle. A correct location of each object is derived based on the derived correct location data of vehicle for georeferencing plurality of objects.