Adaptive Parking Assistance Using Driver Familiarity Thresholds
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Solution Overview
Problem
Existing vehicle parking assistance systems provide static threshold distances for notifications, which are redundant for experienced drivers and insufficient for novice drivers, limiting their utility.
Innovation Solution
An adaptive vehicle parking assistance system that adjusts the size of a virtual zone based on the driver's familiarity with the vehicle's dimensions and capabilities, using sensor data and machine learning models to determine the optimal notification threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a static threshold distance is used for vehicle parking assistance notifications, then the system is simple to implement, but the utility is limited because it is redundant for experienced drivers and insufficient for novice drivers
Solution Approach 1:
The patent implements dynamic adjustment of the virtual zone size based on detected driver familiarity level. The system transitions from a static threshold to a dynamic one that adapts in real-time according to the driver's skill level, allowing the notification threshold to change during operation to serve both novice and experienced drivers effectively
Solution Approach 2:
The system incorporates feedback mechanisms by monitoring driver behavior and performance during parking maneuvers. This feedback is used to determine the driver's familiarity level, which then feeds back into adjusting the virtual zone size, creating a closed-loop adaptive system that improves with use
2Ease of operation
If the virtual zone size is fixed, then the notification system is consistent and simple, but it provides redundant information to experienced drivers and insufficient information to novice drivers
Solution Approach 1:
The patent applies local quality by customizing the virtual zone parameters specifically for each driver's skill level. Instead of a uniform approach, the system creates localized adjustments to the notification threshold based on the individual driver's needs, providing appropriate information density for each user
3Reliability
If the system provides frequent notifications, then novice drivers receive adequate assistance, but experienced drivers find the feature redundant and distracting
Solution Approach 1:
The system applies partial action by providing notifications at different levels based on driver familiarity. Novice drivers receive more frequent and detailed notifications (excessive action for their needs), while experienced drivers receive fewer, more targeted notifications (partial action), optimizing the balance between safety assistance and distraction reduction
Data Source
AI summary
An apparatus, method and computer program product are provided for providing adaptive vehicle parking assistance. In one example, the apparatus receives sensor data indicating a user's interaction associated with a vehicle parking assistance feature. The vehicle parking assistance feature is a feature in which a vehicle causes a notification on a user interface in response to an object abutting or overlapping a virtual zone surrounding the vehicle. The apparatus determines a level of the user's familiarity on using the vehicle parking assistance feature based on the sensor data, and the apparatus adjusts a size of the virtual zone based on the level.