Parking Assist Suitability Prediction for Door Clearance
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Solution Overview
Problem
Existing parking assist systems struggle to determine whether a vehicle can safely fit into a parking space and allow occupants to perform necessary actions without hitting obstacles, such as curbs or other objects, after parking.
Innovation Solution
A parking assist system that utilizes a processor to detect a parking space, identify various parameters including vehicle, environmental, occupant, and point-of-interest-related parameters, and predicts actions needed after parking, using a digital twin simulation to assess suitability and provide guidance to occupants or autonomously park the vehicle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional parking assist systems use distance sensors and cameras to detect objects and show live views, then the occupant can see the external environment, but the occupant still cannot determine whether the vehicle will fit into the parking space or safely open doors without hitting obstacles
Solution Approach 1:
The system performs preliminary analysis of parking space suitability by detecting the parking space dimensions, vehicle dimensions, and potential obstacles before the occupant attempts to park. It predicts whether the vehicle will fit and whether doors can be safely opened, providing this information in advance to guide the parking decision.
Solution Approach 2:
The system creates a digital representation or model of the parking space and vehicle geometry to simulate and analyze the parking scenario. This digital copy allows the system to evaluate multiple parking configurations and predict outcomes without physical trial and error.
2Measurement precision
If the parking assist system provides detailed analysis of parking space suitability including predicting occupant actions, then the accuracy of parking suitability determination is improved, but the computational requirements and processing time increase
Solution Approach 1:
The system segments the parking suitability assessment into distinct analytical components: vehicle dimension analysis, parking space dimension detection, obstacle identification, and predicted occupant action evaluation. Each segment processes specific parameters independently, improving computational efficiency while maintaining overall assessment accuracy.
3Adaptability or versatility
If the system predicts point-of-interest-related actions to be performed by an occupant after parking, then the suitability determination becomes more comprehensive, but the complexity of predicting human behavior increases
Solution Approach 1:
The system changes the approach to predicting occupant actions by focusing on measurable geometric parameters and physical constraints rather than complex behavioral modeling. It evaluates parameters such as door opening clearance, passenger exit space, and cargo access feasibility based on the predicted actions, transforming a behavioral prediction problem into a geometric analysis problem.
Data Source
AI summary
A parking assist system for a vehicle includes a processor and a memory communicably coupled to the processor. The memory stores instructions that when executed by the processor cause the processor to detect a parking space for a vehicle. The instructions further cause the processor to identify one or more parking parameters related to parking the vehicle in the parking space. The parking parameters include a point-of-interest associated with the parking space. The instructions further cause the processor to determine a suitability of the parking space based on the one or more parking parameters. Determining the suitability of the parking space includes predicting a point-of-interest-related action to be performed by an occupant after parking the vehicle in the parking space.