Parking Assist Prioritization Using Virtual Parking Regions
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Solution Overview
Problem
Existing parking assist systems fail to guide vehicles to suitable parking spaces in environments where parking space lines are obscured by snow or mud, often incorrectly identifying sidewalks or driving lanes as parking spaces, thereby burdening drivers with unnecessary selection decisions.
Innovation Solution
A parking assist system that uses environment information to calculate the width of potential parking spaces, sets virtual parking regions, and determines parking priorities based on movement traces and object orientations, displaying prioritized parking space candidates to the driver to reduce selection burden.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the parking assist system relies on detecting parking space lines on the road surface, then it can accurately identify parking spaces under good conditions, but it fails to recognize parking spaces when the road surface is covered with snow or mud
Solution Approach 1:
The patent introduces virtual parking regions as an intermediary concept between the vehicle and actual parking spaces. These virtual regions are set based on movement traces and object detection rather than relying on road surface lines, serving as a mediator that enables parking space identification in environments where traditional line detection fails
Solution Approach 2:
The patent replaces the mechanical/visual line detection system with an information-based system using movement traces and object detection data. Instead of relying on physical road markings, the system uses digital information from sensors and processing to identify parking spaces, substituting a physical detection method with an information processing approach
2Adaptability or versatility
If the system detects all potential spaces between parked vehicles, then it increases the number of parking options available, but it also increases the burden on the driver to select the correct parking space
Solution Approach 1:
The patent implements feedback by displaying parking priorities alongside parking space options. The system processes information about movement traces and objects, then feeds back this processed information as priority levels to the driver, enabling informed selection without overwhelming the driver with raw data
Solution Approach 2:
The patent changes the parameter presentation by introducing parking priority as an additional parameter alongside parking space location. This transformation of raw detection data into prioritized options helps the driver make selections more efficiently by highlighting the most suitable spaces
Data Source
AI summary
A parking assist system for a vehicle includes the following elements. A parking space width calculator is configured to calculate a parking space width between objects. A parking width comparator is configured to compare the parking space width with the width of a virtual parking region. A movement trace detector is configured to detect a movement trace within the virtual parking region. A target detector is configured to determine whether a target faces at least one side of the virtual parking region other than the side near the vehicle. A parking priority setter is configured to set a parking priority for the virtual parking region based on a movement trace and an object. A display selector is configured to display parking space candidates based on parking priority and instructs a driver to select a parking space candidate.