Lane Deviation Support Control Using Map-Line Matching
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Solution Overview
Problem
Existing vehicle control systems struggle to appropriately control vehicles based on recognition of various environments and surroundings, leading to inadequate vehicle control.
Innovation Solution
A vehicle control device that includes a recognition part to identify road marking lines, an obtaining part to retrieve information from map data, and a support part that provides assistance to prevent vehicle deviation from road marking lines when the probability of deviation is high, while suppressing support when the matching degree between recognized and mapped road marking lines is below a threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the support part executes support processing based on recognized road marking lines, then vehicle deviation prevention is improved, but false support may occur when map data is outdated or inaccurate
Solution Approach 1:
The system compares the recognized road marking line position with the map information to calculate a degree of matching, and uses this feedback to determine whether to execute support processing. When the degree of matching exceeds the threshold, support processing is executed; when it does not exceed the threshold, support processing is suppressed, thereby preventing false support while maintaining reliable deviation prevention.
2Object-affected harmful factors
If the system suppresses support processing when degree of matching is low, then false support is reduced, but vehicle control may be insufficient in unrecognized environments
Solution Approach 1:
The system changes the parameter of support processing execution based on the degree of matching between recognized and map road marking lines. By dynamically adjusting whether to execute support processing according to this parameter comparison, the system reduces false support in areas with outdated map data while maintaining adequate vehicle control through recognition-only mode in unrecognized environments.
3Adaptability or versatility
If the system uses only recognized road marking lines, then adaptability to various environments is improved, but control precision may decrease when map data is available
Solution Approach 1:
The system uses feedback from comparing recognized road marking lines with map information to determine the optimal control mode. When the degree of matching exceeds the threshold, the system uses both recognized and map information for high-precision control. When the degree of matching does not exceed the threshold, the system relies on recognition-only for environmental adaptability, thereby achieving both precision and adaptability.
Solution Approach 2:
The system dynamically switches between two control modes: using both recognized and map information when the degree of matching is high, and using recognition-only when the degree of matching is low. This dynamic adjustment optimizes the balance between measurement precision and environmental adaptability according to the actual situation.
Data Source
AI summary
A vehicle control device includes: a recognition part recognizing a first road marking line on a first side of a lane traveled by a vehicle; an obtaining part obtaining information on a second road marking line on the first side of the lane from map information; and a support part that executes a support processing for preventing the vehicle from deviating from a road marking line when a probability that the vehicle deviates from the road marking line is greater than or equal to a predetermined degree. When a degree of matching between a first position of the first road marking line and a second position of the second road marking line is less than or equal to a first threshold value, the support part suppresses execution of the support processing for preventing the vehicle from deviating from a road marking line on the first side.