Vehicle Map Service Data Fusion System
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Solution Overview
Problem
Current systems for vehicle map services face challenges in efficiently processing and exchanging data between various client systems and remote computing systems, leading to redundancy and inconsistency in data transmission, which can impact safety and accuracy in navigation and vehicle operations.
Innovation Solution
A method and system for generating fused data by determining and combining relevant portions of vehicle map service data from multiple sources, reducing redundancy and inconsistency, and providing authorized access to this fused data for client systems, using a vehicle map service protocol that facilitates efficient data exchange and fusion of sensor observations and map data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data is transmitted from multiple client systems to remote computing systems, then comprehensive data coverage is improved, but data redundancy and inconsistency increase
Solution Approach 1:
The patent combines data from multiple client systems at a centralized remote computing system, merging sensor observations, map data, and vehicle information into a unified dataset. This consolidation approach maintains comprehensive data coverage while eliminating redundancy by processing all data through a single fusion point rather than allowing duplicate transmissions across multiple systems.
Solution Approach 2:
The remote computing system acts as an intermediary between multiple client systems and end-user applications. It receives, processes, and standardizes data from various clients, then distributes the processed information. This mediator role ensures data consistency and reduces redundant transmissions by pre-processing data centrally before distribution.
2Adaptability or versatility
If multiple client systems access vehicle map service data independently, then system autonomy is improved, but data consistency deteriorates
Solution Approach 1:
The system segments functionality between client systems and the remote computing system. Client systems maintain autonomy by independently determining their specific data subscription needs and requesting only relevant portions of data. The remote system segments data into categorized portions (sensor observations, map data, vehicle information) and serves each client's specific requirements, maintaining both autonomy and consistency.
Solution Approach 2:
The system implements feedback mechanisms where client systems communicate their data requirements and subscription preferences to the remote computing system. The remote system uses this feedback to tailor data portions to each client's needs while maintaining standardized formats and consistency protocols, allowing autonomous operation with coordinated data distribution.
3Loss of information
If all vehicle map service data is transmitted to each client system, then data availability is improved, but transmission redundancy increases
Solution Approach 1:
The system applies local quality by customizing data portions for each client system based on their specific requirements, vehicle type, and operational context. Each client receives data with quality and detail appropriate to their local needs rather than uniform comprehensive data, improving processing efficiency while maintaining necessary availability. For example, different vehicle types receive different sensor data configurations.
Solution Approach 2:
The system implements partial action by transmitting only the necessary portions of data to each client system rather than complete datasets. Clients receive partial data sets tailored to their specific operational requirements, reducing transmission redundancy while ensuring sufficient data availability for their functions. This selective data transmission avoids excessive processing overhead.
Data Source
AI summary
Provided are methods, systems, devices, and tangible non-transitory computer readable media for providing data including vehicle map service data. The disclosed technology can perform operations including receiving vehicle map service data from client systems. The vehicle map service data can include information associated with a geographic area or sensor observations of a vehicle. Two or more portions of the vehicle map service data to which a client system is subscribed can be determined. Fused data based on the two or more portions of the vehicle map service data to which the client system is subscribed can be generated. Furthermore, the client system can be provided with access to the fused data. Access to the fused data can include authorization to send or receive portions of the vehicle map service data associated with the fused data.