Parking Space Recommendation for Faster Automatic Vehicle Parking
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Solution Overview
Problem
Current automatic parking technologies require high driver involvement and accuracy, leading to low parking efficiency and missed opportunities due to incorrect vehicle positioning or lane violations.
Innovation Solution
A vehicle-based method that recommends parking areas and modes to users based on relative position relationships and driving behaviors, using sensors to obtain information about parking spaces and vehicle states, and provides guidance for efficient parking through automatic trajectory planning and mode switching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If automatic parking technology is used, then parking automation is improved, but driver involvement requirement increases leading to low parking efficiency
Solution Approach 1:
The system performs preliminary detection of parking spaces and pre-calculates parking trajectories before the driver initiates parking. The processor identifies available parking spaces in advance and prepares parking plans, reducing the time and complexity of the actual parking operation.
Solution Approach 2:
The system continuously monitors vehicle state, parking space conditions, and driving behavior through sensors, providing real-time feedback to adjust parking recommendations and trajectories. This closed-loop control improves parking success rate and efficiency.
2Ease of operation
If current automatic parking technology is used, then parking assistance is provided, but vehicle positioning accuracy requirement increases leading to missed parking opportunities
Solution Approach 1:
The system changes the parameters used for positioning by incorporating multiple sensor types (cameras, radar, ultrasonic sensors) and fusing their data to create a more robust positioning system that is less sensitive to individual measurement errors.
Solution Approach 2:
The system performs preliminary detection and identification of parking spaces before the vehicle approaches, allowing the driver to select suitable parking spaces in advance and avoid missed opportunities due to positioning errors during critical maneuvers.
3Ease of operation
If manual parking space selection is used, then driver control is maintained, but time consumption increases and parking efficiency decreases
Solution Approach 1:
The system performs self-detection of parking spaces, self-calculation of parking trajectories, and self-adjustment of parking parameters, reducing the time and effort required from the driver while maintaining driver oversight and control.
Solution Approach 2:
The system pre-identifies and pre-recommends suitable parking spaces based on real-time environmental perception, allowing the driver to make quick decisions without manual searching, thus reducing time consumption while maintaining driver control.
Data Source
AI summary
A parking method includes: obtaining information about a plurality of parking areas; obtaining a relative position relationship between a vehicle and each of the plurality of parking areas; and recommending a first parking area to a user based on the relative position relationship and a first driving behavior of the user, where the plurality of parking areas include the first parking area. The parking method can be applied to a new energy vehicle or an intelligent vehicle, help improve user parking efficiency, and help improve user parking experience.