Vehicle Positioning via Backend Data Packet Analysis
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Solution Overview
Problem
Existing methods for determining the location of a motor vehicle require maintaining a high-precision digital map within the vehicle, which is costly and resource-intensive, and suffer from inaccuracies in GPS position measurements, especially on multi-lane roads where precise lane identification is crucial.
Innovation Solution
A method where a motor vehicle records data using sensors and generates data packets that include local environmental data, which are then transmitted to a backend system for precise location determination, eliminating the need for on-board map maintenance and calculations, and allowing for improved accuracy by comparing sensor data with a database available at the backend.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If GPS receivers are used for position determination, then the system is simple and low-cost, but the measurement precision deteriorates with deviations more than 10m
Solution Approach 1:
The patent introduces an intermediary system consisting of infrastructure objects (traffic lights, signs, buildings) and their digital representations in a map database. Instead of directly using GPS coordinates, the system uses these intermediaries as reference points to indirectly determine vehicle position, achieving higher precision without requiring complex onboard processing equipment.
Solution Approach 2:
The patent creates a digital copy of the physical environment (map database containing infrastructure objects) and compares sensor data against this copy. This allows the system to determine precise location by matching observed infrastructure objects with their digital representations, achieving high measurement precision without complex onboard systems.
2Measurement precision
If high-precision digital maps are maintained in the vehicle, then position determination precision improves, but device complexity and maintenance costs increase significantly
Solution Approach 1:
The patent extracts the complex map maintenance function from the vehicle and relocates it to a remote server. The vehicle only receives necessary map data updates, while the server handles the complex tasks of map creation, updates, and management. This reduces device complexity in the vehicle while maintaining high position determination precision.
Solution Approach 2:
The patent creates a universal map database that serves multiple purposes: position determination, lane identification, and infrastructure object recognition. This multi-functional database reduces the need for separate systems and simplifies the overall architecture while maintaining high precision across multiple functions.
3Measurement precision
If high-precision digital maps are maintained in the vehicle, then position determination precision improves, but costs increase significantly
Solution Approach 1:
The patent extracts the expensive map maintenance function from the vehicle and relocates it to a remote server. The vehicle only receives necessary map data updates, while the server handles the complex and costly tasks of map creation, updates, and management. This significantly reduces the cost burden on individual vehicles while maintaining high position determination precision.
Solution Approach 2:
The system implements self-service through automated processes where the server automatically updates the map database and distributes relevant updates to vehicles. This eliminates the need for manual map maintenance in each vehicle, reducing both costs and complexity while maintaining high precision.
4Device complexity
If GPS position measurements are used, then the system is simple, but lane identification becomes impossible on multi-lane roads
Solution Approach 1:
The patent uses infrastructure objects in the map database as intermediaries to bridge the gap between simple GPS positioning and precise lane identification. By matching observed infrastructure objects with their digital representations, the system can determine not just position but also lane information, recovering lost information without significantly increasing system complexity.
Solution Approach 2:
The patent transitions from two-dimensional GPS coordinates to a more detailed spatial representation that includes lane-level precision and infrastructure object relationships. This dimensional enhancement allows the system to recover lane identification information while building on the existing GPS infrastructure.
Data Source
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AI summary
A method, a device, and a computer-readable storage medium containing instructions for determining the location of data recorded by a motor vehicle. In a first step, at least one piece of data is recorded by a sensor in the motor vehicle (10). Additional data is also determined (11) that enables the location of the at least one recorded piece of data to be determined. The at least one recorded piece of data and the additional data can be stored in a memory in the motor vehicle (12). In a further step, a data packet is generated by linking the additional data with the at least one recorded piece of data (13). The data packet can then be transmitted to a backend automatically or in response to a request (14).