Vehicle Map Control for Accurate Road-Type Filtering
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Solution Overview
Problem
Existing vehicle control systems face issues with large map data sizes and accuracy deterioration due to duplicated data, leading to increased processing costs and potential inaccuracies in autonomous driving and driving assistance systems.
Innovation Solution
A vehicle control system that includes an electronic control unit and a server distributing map information, where the server transmits data on roads that are either suitable for autonomous driving or not, with the electronic control unit managing and using this information to differentiate between roads, reducing data size and maintaining accuracy by only transmitting data for roads within a predetermined range and angle from the primary road.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If navigation map data and autonomous driving map data are both used, then road identification accuracy is improved, but data size increases and processing cost increases
Solution Approach 1:
The patent extracts only the necessary second type of road data (roads running side by side within a predetermined angle) from the complete navigation map data, rather than using all navigation map data. This selective extraction reduces data size while maintaining sufficient accuracy for preventing erroneous road identification.
Solution Approach 2:
The patent applies different data inclusion criteria to different road types. First type roads (autonomous driving roads) have complete data, while second type roads (non-autonomous driving roads) are selectively included only when they run side by side within a predetermined angle of the first type roads. This local differentiation optimizes the balance between accuracy and data size.
2Measurement precision
If navigation map data and autonomous driving map data are both used, then road identification accuracy is improved, but processing cost increases
Solution Approach 1:
The server extracts only the necessary second type of road data that runs side by side within a predetermined angle of the first type roads, reducing the total data volume that the electronic control unit must process. This extraction approach maintains sufficient accuracy while improving processing efficiency.
3Adaptability or versatility
If complete map data is used, then comprehensive road coverage is achieved, but data accuracy deteriorates due to duplication
Solution Approach 1:
The patent removes duplicate road data by extracting only necessary second type roads that are spatially related to first type roads. This selective extraction prevents data duplication while maintaining comprehensive coverage of relevant roads, thereby preserving data accuracy.
Data Source
AI summary
A vehicle control system includes a control unit for vehicle control and a server which distributes map information to the control unit. The map information includes information on a first type of road whereby full or partial driving assistance of the vehicle is possible, and information on a second type whereby full or partial driving assistance of the vehicle are not possible. The server includes an output unit which transmits information on a second type of road existing in a predetermined range from a first type of road on which the vehicle is traveling, and such that the first and second types of road form a predetermined angle or less. The control unit includes a map management unit including information on the first and second types of road, and a vehicle control unit controlling the vehicle by using the information on the first and second types of road.