Driving Assist Control for Road Marking-Based Position Correction
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Solution Overview
Problem
Conventional host vehicle position detection systems fail to correct the absolute position of a vehicle due to missing shape information of road markings, especially during traffic congestion when road markings are obscured by preceding vehicles.
Innovation Solution
A driving assist method using a controller that sets a target inter-vehicular distance to enhance the probability of detecting road markings by adjusting the distance based on traffic conditions, allowing for more opportunities to correct the vehicle's position on map data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the host vehicle approaches the preceding vehicle closely during traffic congestion, then fuel efficiency and travel time are improved, but the road marking detection capability deteriorates due to occlusion
Solution Approach 1:
The patent dynamically adjusts the target inter-vehicular distance based on detection conditions. When road marking detection is successful, the system maintains a shorter distance for efficiency. When detection fails or is uncertain, the system increases the distance to improve detection capability, creating a dynamic adaptation to changing conditions
Solution Approach 2:
The system changes the inter-vehicular distance parameter in response to detection outcomes. By adjusting this physical parameter based on whether road markings are successfully detected, the system optimizes the trade-off between travel efficiency and detection reliability
2Measurement precision
If the host vehicle maintains a long distance from the preceding vehicle, then road marking detection accuracy is improved, but travel time and fuel consumption increase
Solution Approach 1:
The system dynamically adjusts the target inter-vehicular distance based on detection conditions. When road marking detection is successful, the system maintains a shorter distance for efficiency. When detection fails or is uncertain, the system increases the distance to improve detection capability
Solution Approach 2:
The system changes the inter-vehicular distance parameter in response to detection outcomes, optimizing the balance between detection accuracy and travel efficiency
3Productivity
If the target inter-vehicular distance is fixed at a short value, then travel efficiency is maximized, but the probability of missing correction opportunities increases
Solution Approach 1:
The system uses feedback from road marking detection results to adjust the target inter-vehicular distance. When detection fails, the system increases the distance in subsequent operations, creating a feedback loop that improves correction reliability while maintaining travel efficiency
Solution Approach 2:
The target inter-vehicular distance is dynamically adjusted based on detection success, transforming a fixed parameter into an adaptive one that responds to actual detection conditions
Data Source
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AI summary
To provide a driving assist method that can reduce the possibility of missing an opportunity to correct a host vehicle position set on map data. The method comprising: setting (S7) a target inter-vehicular distance to a preceding vehicle to a preset first target inter-vehicular distance upon determining an execution request for executing a correction of a host vehicle position set on map data has not been made; and determining (S2), after determining that the execution request has been made, whether a correction-not-possible period, in which the correction cannot be executed, has continued for at least a preset threshold period, and upon determining that the correction-not-possible period has continued for at least the threshold period, setting (S8) the target inter-vehicular distance to a second target inter-vehicular distance, which is longer than the first target inter-vehicular distance, upon determining the execution request has been made.