Parking Space Detection Using Width and Rear Object Checks
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Solution Overview
Problem
Existing parking assist systems fail to accurately identify parking spaces when the lines on the road surface are obscured by snow or mud, leading to incorrect recognition of prohibited areas as parking spaces, which can disappoint drivers.
Innovation Solution
A parking assist system that includes an environment information obtainer, a storage for reference parking width, a parked vehicle detector, and a parking possibility determiner, which determines whether a space is suitable for parking by comparing its width with a reference parking width and checking for the presence of a target object at the back of the space, thereby avoiding the incorrect recognition of prohibited areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If parking space lines are used to identify parking spaces, then parking space detection is simple and fast, but the system fails when lines are obscured by snow or mud
Solution Approach 1:
The system performs preliminary detection of parked vehicles and space width measurement before final parking space determination. By first identifying parked vehicles and measuring the width of spaces next to them, the system prepares detection results in advance, then uses these preliminary results to accurately determine parking spaces even when traditional line detection fails due to snow or mud coverage.
2Reliability
If tire tracks are used to identify parking spaces in poor conditions, then the system can operate when lines are obscured, but the system may wrongly identify prohibited areas as parking spaces
Solution Approach 1:
The system uses feedback from multiple detection results including parked vehicle positions, space width measurements, and target object detection at the back of spaces. By comparing the detected space width with the reference parking width and checking for target objects, the system verifies whether a detected space is legitimate, providing feedback that prevents wrong identification of prohibited areas as parking spaces.
Solution Approach 2:
The system changes the detection parameter from relying on visual line recognition to measuring physical space width and detecting target objects. By using space width as a quantitative parameter and comparing it with the reference parking width, the system transforms the detection method into one that can accurately identify parking spaces without being affected by obscured lines, thereby improving measurement precision.
3Measurement precision
If multiple detection methods are combined to improve accuracy, then wrong areas are avoided, but the system complexity increases
Solution Approach 1:
The environment information obtainer performs multiple detection functions using a unified detection framework. It simultaneously detects parked vehicles, measures space widths, and identifies target objects at the back of spaces, making the detection system multi-functional. This universal approach allows the system to achieve high measurement precision through multiple detection methods while managing complexity through integrated design.
Data Source
AI summary
A parking assist system for a vehicle includes an environment information obtainer, a storage, a parked vehicle detector, a space determiner, and a parking possibility determiner. The storage stores a reference parking width to be used for parking the vehicle. The parked vehicle detector detects a parked vehicle. The space determiner compares a width of a space next to the parked vehicle with the reference parking width and determines whether the width of the space is greater than or equal to the reference parking width. If the width of the space is found to be greater than or equal to the reference parking width, the parking possibility determiner determines whether a target object is detected at a back side of the space. If the target object is not detected, the parking possibility determiner determines that parking in the space is prohibited.