Intersection Turn-Intent Control Using Stored Road Arrow Data
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Solution Overview
Problem
Existing driving support systems fail to accurately determine vehicle turn intentions due to faded or changed road arrow markings, leading to inappropriate execution of pre-right/left-turn deceleration and warning controls at intersections.
Innovation Solution
A driving support apparatus that uses surrounding sensors to acquire road marking information, stores accurate road arrow information in a storage device, and performs overwrite or retention processing based on the number of detected directions to ensure precise execution of deceleration and warning controls.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system determines turn intention based on road arrow markings recognized by the image pickup device, then the system can execute driving support control at intersections, but the determination becomes inaccurate when road markings are faded or changed
Solution Approach 1:
The system performs preliminary actions by detecting and storing road marking information in advance before reaching the intersection. It accumulates multiple road marking detections and uses this pre-collected data to determine turn intention, rather than relying solely on real-time recognition at the critical moment. This allows the system to maintain accurate turn intention determination even when current road markings are faded or changed.
Solution Approach 2:
The system creates a copy of the road marking information by detecting and storing the type of road markings (straight arrow, right-turn arrow, left-turn arrow) in advance. This stored copy of road marking data is then used to determine turn intention, replacing the need for continuous real-time recognition of potentially degraded physical road markings.
2Adaptability or versatility
If the system continuously updates road arrow information based on current detections, then it can adapt to changes, but it may overwrite accurate stored information with inaccurate current detections of faded markings
Solution Approach 1:
The system uses feedback mechanisms to evaluate the reliability of detected road markings before updating stored information. It compares current detections with previously stored data and only updates when the detection confidence is sufficiently high. This feedback loop prevents overwriting accurate stored information with unreliable detections of faded or partially visible markings, while still allowing updates when road layouts genuinely change.
Solution Approach 2:
The system dynamically adjusts its update strategy based on detection confidence and context. It selectively updates stored road arrow information only when current detections meet reliability thresholds, rather than continuously overwriting. This dynamic approach allows the system to adapt to genuine road layout changes while maintaining accuracy when dealing with faded markings.
3Object-generated harmful factors
If the system stops issuing warnings when road arrow markings change to straight arrows, then it avoids false warnings, but it may fail to warn when the vehicle is actually going to turn
Solution Approach 1:
The system performs preliminary detection and storage of road marking information in advance, creating a reference of the original road marking types before reaching the intersection. This pre-collected data is used to determine whether the vehicle is actually going to turn, independent of the current visible markings. This allows the system to issue accurate warnings based on the vehicle's intended path rather than solely on current faded or changed markings.
Solution Approach 2:
The system uses stored copies of original road marking information to determine turn intention, rather than relying exclusively on current real-time recognition. This copied data serves as a reliable reference that preserves the original road layout information, enabling accurate warning control even when current markings have faded or changed to straight arrows only.
Data Source
AI summary
A driving support apparatus includes a surrounding sensor which acquires surrounding information, and a control unit which executes driving support control when a execution condition is satisfied. The control unit performs overwrite processing or retention processing based on whether or not a specific condition is satisfied. The specific condition is satisfied when the number of types of directions other than a straight direction included in permitted travel directions of a first road arrow marking detected at a first time point is less than the number of types of directions other than a straight direction included in the permitted travel directions included in second road arrow information already stored in a storage device at the first time point. The control unit then determines whether or not the execution condition is satisfied at the first time point based on the overwritten or retained road arrow information.