Valet Parking Guidance Using Pre-Detected Free Parking Spaces
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current automatic parking solutions have a low automation degree and low parking efficiency, requiring users to spend too much time searching for parking spaces, especially in large supermarkets or department stores, and fail to effectively address the difficulty of finding suitable parking spots.
Innovation Solution
A method that involves a target server obtaining the current position of a vehicle and determining free parking spaces within a designated parking lot, generating target parking prompt information, and sending instructions to the vehicle to drive to a recommended parking space based on user preferences and historical data, enabling valet parking functionality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually search for parking spaces in large supermarkets or department stores, then they can find available parking spots, but the time and effort required for parking increases significantly
Solution Approach 1:
The system enables self-service parking by automatically detecting free parking spaces, determining recommended target parking spaces based on user preferences and historical data, and guiding vehicles to optimal parking locations without manual searching, thereby reducing parking time and effort
Solution Approach 2:
The system performs preliminary actions by pre-identifying available parking spaces and pre-calculating recommended target parking spaces before the user arrives at the parking lot, allowing users to directly navigate to optimal parking locations and avoid time-consuming manual searches
2Productivity
If automatic parking solutions are implemented, then parking efficiency should improve, but the automation degree remains low and users still spend too much time searching for parking spaces
Solution Approach 1:
The system incorporates feedback mechanisms by utilizing user feedback (preferences, historical parking data) to continuously optimize the determination of recommended target parking spaces, improving parking efficiency while increasing automation degree through adaptive learning
Solution Approach 2:
The system introduces an intermediary component (the server system) that acts as a mediator between users and parking spaces, automatically processing information about available parking spaces, user preferences, and historical data to determine optimal target parking spaces, thereby enhancing both automation degree and parking efficiency
Data Source
Figure 1
Figure 2
Figure 3
AI summary
The present disclosure relates to a parking method, a storage medium, a chip and a vehicle. According to the parking method, in response to determining that a distance between the vehicle and a designated parking lot is less than a preset distance threshold, free parking spaces of the designated parking lot are obtained (102;301) in advance, and a recommended target parking space is determined (103) according to position information of each free parking space; and target parking prompt information is generated (104) according to the recommended target parking space, the target parking prompt information is sent to a designated terminal, and in response to receiving a valet parking allowing instruction sent by the designated terminal, the valet parking allowing instruction is forwarded (105) to the target vehicle to control the target vehicle to drive to the recommended target parking space.