Distributed Map Collection for Dynamic Road Data Updates
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Solution Overview
Problem
Existing technologies face challenges in efficiently collecting and updating map data for dynamic maps, particularly for ordinary roads, which is necessary for the widespread adoption of automated driving systems.
Innovation Solution
A map collection system comprising a map server device and in-vehicle devices mounted on measurement vehicles, where the server distributes mapping software to generate map data, and the vehicles acquire and transmit this data back to the server, allowing for distributed generation and reduction of communication load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If map data is collected by a centralized server processing all measurement data, then data consistency is maintained, but server load and communication bandwidth requirements increase significantly
Solution Approach 1:
The patent divides the map data processing system into multiple independent map information generation units distributed across different vehicles. Each unit independently generates map data for its own measurement data, eliminating the need for a centralized server to process all data. This segmentation reduces server load while maintaining data consistency through standardized generation processes.
Solution Approach 2:
Each vehicle equipped with measurement devices independently generates its own map data using locally installed generation units, rather than relying on a centralized server to process all data. This self-service approach significantly reduces communication bandwidth requirements and server processing load while maintaining data consistency through standardized generation algorithms.
2Quantity of substance
If measurement vehicles travel long distances to collect sufficient map data, then comprehensive map coverage is achieved, but time and operational costs increase
Solution Approach 1:
The patent divides the map data collection task across multiple vehicles, each collecting data for specific geographic areas. This parallel collection approach significantly reduces the total time required to achieve comprehensive map coverage compared to a single vehicle traveling long distances, while maintaining complete data volume through coordinated multi-vehicle operations.
3Measurement precision
If dynamic maps are updated frequently to maintain high-precision data, then map accuracy is improved, but update operation complexity increases
Solution Approach 1:
The system enables automatic, independent map data generation at each vehicle using standardized generation units. This self-service mechanism simplifies update operations by eliminating complex manual coordination, allowing frequent updates to maintain high-precision dynamic maps through automated, consistent data generation processes.
Data Source
AI summary
A map server device (200) transmits mapping software to an in-vehicle device (300) mounted on a measurement vehicle. The in-vehicle device receives the mapping software, acquires measurement data obtained by the measurement vehicle, generates map data by executing the mapping software by using the acquired measurement data as an input, and transmits the generated map data to the map server device. Then, the map server device receives the map data.