Vehicle Control Apparatus Risk Adjustment for Parking Obstacles
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Solution Overview
Problem
Existing vehicle control systems often cause unnecessary stress for drivers by sounding alarms for obstacles with low contact possibilities, leading to unneeded warnings and vehicle control interventions.
Innovation Solution
A system that calculates risks for nearby and remote obstacles and adjusts these risks based on the vehicle's parking state to prioritize warnings and controls for obstacles with higher contact possibilities, reducing driver stress by minimizing false alarms and interventions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the alarm buzzer sounds for every obstacle detected by sensors, then obstacle detection coverage is improved, but driver stress increases due to unnecessary warnings
Solution Approach 1:
The system changes the parameter of risk evaluation by calculating contact possibility based on multiple factors including obstacle distance, vehicle speed, and parking state. This transforms the binary alarm approach into a graded risk assessment system that adjusts warning behavior based on actual contact probability
Solution Approach 2:
The system dynamically adjusts alarm behavior based on real-time conditions such as vehicle parking state and obstacle characteristics. The alarm buzzer is selectively activated or suppressed based on calculated risk levels, making the warning system adaptive rather than static
2Reliability
If warnings are executed for all detected obstacles, then safety monitoring is improved, but false alarms increase causing unnecessary driver intervention
Solution Approach 1:
The system introduces risk level as a filtering parameter that separates true hazards from false alarm conditions. By calculating contact possibility using multiple parameters (distance, speed, parking state), the system transforms comprehensive detection into selective warning that maintains safety monitoring while reducing false alarms
3Measurement precision
If the system calculates and adjusts risk based on parking state, then warning accuracy is improved, but system complexity increases
Solution Approach 1:
The system segments the obstacle detection space into nearby and remote zones, and further segments warning behavior based on parking state (parking vs. non-parking). This segmentation allows complex risk calculation to be applied in a structured way that improves accuracy while managing system complexity through organized decision layers
Data Source
AI summary
A vehicle control device basically includes a first risk computation unit, a second risk computing unit and a first risk adjustment unit. The first risk computation unit calculates a first risk with respect to a nearby obstacle located in a nearby detection region near a host vehicle. The second risk computing unit calculates a second risk with respect to a remote obstacle located further from the nearby detection region. The first risk adjustment unit adjusts at least one of the first and the second risks to preferentially execute a warning or vehicle control based on one of the first risk or the second risk versus a warning or vehicle control based on the other of the first risk or the second risk based on an entry state of the host vehicle of entering a planned parking place, or an exit state of the host vehicle of exiting from a parking place.