Dynamic Parking Space Selection for Automatic Vehicles
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Solution Overview
Problem
Conventional automatic parking systems face inaccuracies in determining available parking spaces, leading to failure in parking path generation due to unforeseen conditions, resulting in wasted resources and reduced success rates.
Innovation Solution
The method involves continuously determining available parking spaces while the vehicle is traveling, acquiring and updating parking space and vehicle position information in real-time, and dynamically updating candidate parking spaces based on changing conditions to ensure accurate selection and utilization of available spaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional automatic parking systems determine candidate parking spaces based on initial visual frames and ultrasonic line segments, then the parking process is simplified and executed quickly, but the determination accuracy is insufficient leading to failure in parking path generation due to unforeseen conditions
Solution Approach 1:
The system transitions from static parking space determination based on initial sensor data to dynamic real-time updating of candidate parking spaces during vehicle movement. The control device continuously receives updated position information from sensors and recalculates candidate parking spaces dynamically, allowing the system to adapt to changing road conditions and unforeseen obstacles, thereby improving parking path generation success rate without excessive complexity increase
Solution Approach 2:
The system implements a feedback mechanism where the control device continuously monitors vehicle position information and parking space conditions during the parking process. Based on this feedback, the system updates the candidate parking spaces in real-time and adjusts the parking path generation accordingly. This closed-loop feedback ensures that the parking system can respond to unforeseen conditions and maintain high reliability without requiring overly complex preliminary analysis
2Productivity
If the system preliminarily determines candidate parking spaces before parking path generation, then the parking process is efficient, but available parking spaces may be ignored when conditions change, resulting in resource waste and reduced parking success rate
Solution Approach 1:
The system maintains continuous detection and updating of parking space information throughout the parking process rather than performing a one-time determination. The control device continuously receives vehicle position information and updates candidate parking spaces in real-time, ensuring that available parking spaces are not missed due to condition changes. This continuous action preserves productivity by enabling quick parking execution while preventing information loss about available spaces
Solution Approach 2:
The system performs preliminary identification of potential parking spaces before final candidate selection, but maintains the flexibility to update this preliminary list during vehicle movement. By continuously monitoring and updating candidate parking spaces based on real-time position information, the system ensures that spaces that initially appeared unavailable may be added to the candidate list if conditions change, thus preventing resource waste while maintaining efficient parking execution
Data Source
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AI summary
A method for automatically parking a vehicle, comprising: determining first available parking spaces within a parking range while the vehicle is traveling; acquiring first parking space position information of the first available parking spaces and first vehicle position information of the vehicle; determining candidate parking spaces from the first available parking spaces based on the first parking space position information and the first vehicle position information, and displaying the candidate parking spaces on a vehicle terminal; determining second available parking spaces within the parking range and second vehicle position information of the vehicle; detecting available parking spaces within the parking range of the vehicle in real time based on the first parking space position information, the first vehicle position information, second parking space position information of the second available parking spaces and the second vehicle position information; and updating the candidate parking spaces based on ambient condition changes of the candidate parking spaces or available parking spaces that do not become candidate parking spaces.