Mobile Platform Path Selection for Faster Parking Space Search
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Solution Overview
Problem
Existing mobile platforms struggle to efficiently and autonomously navigate to specific environmental functional areas, such as parking spaces, without prior map information, leading to inefficient exploration and the need for user intervention.
Innovation Solution
A mobile platform control method that utilizes sensors to acquire environmental information, determining the number or description of available parking spaces and passable passages, allowing the platform to select an optimal passage for efficient exploration and finding suitable parking spaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If mobile platforms autonomously explore environmental areas without prior map information, then they can operate independently without user control, but the exploration efficiency is low and time-consuming
Solution Approach 1:
The system performs preliminary actions by using sensors to acquire environmental information and determine the number or description of available parking spaces and passable passages before the mobile platform begins its exploration. This advance preparation enables the platform to select optimal passages efficiently, resolving the contradiction between autonomous operation and exploration time by pre-processing environmental data to guide subsequent autonomous navigation.
2Productivity
If mobile platforms use simple autonomous movement without environmental analysis, then the system complexity is low, but the ability to find parking spaces efficiently is poor
Solution Approach 1:
The system introduces an intermediary environmental analysis mechanism that processes sensor data to determine parking space availability and passage characteristics. This intermediary layer between the mobile platform and the environment enables efficient parking space finding by analyzing environmental information, while keeping the mobile platform itself relatively simple. The intermediary processing resolves the contradiction by adding intelligence where needed without overcomplicating the entire system.
3Reliability
If mobile platforms explore all areas systematically without selection, then comprehensive coverage is achieved, but redundant movement increases exploration time
Solution Approach 1:
The system applies local quality by determining the number or description of available parking spaces around specific passable passages and using this localized environmental information to guide navigation decisions. Instead of uniform systematic exploration, the platform focuses on passages with higher potential for finding parking spaces, achieving reliable exploration coverage while minimizing redundant movement in low-priority areas.
4Ease of operation
If mobile platforms require user intervention for navigation decisions, then the system can adapt to complex situations, but the ease of operation decreases
Solution Approach 1:
The system implements self-service by enabling the mobile platform to autonomously acquire environmental information, determine parking space availability, select optimal passable passages, and navigate without user intervention. The platform serves itself by processing sensor data and making navigation decisions independently, resolving the contradiction between ease of operation and environmental adaptability through autonomous environmental analysis and decision-making capabilities.
Data Source
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AI summary
The present application discloses a mobile platform control method, device, mobile platform, and storage medium. The method comprises: determining the number of available parking spaces around each passable passage based on environmental information acquired by sensors mounted on the mobile platform, in response to identifying that there are multiple passable passages within an area to be explored around the mobile platform; determining at least one target passable passage from the multiple passable passages based on the number of available parking spaces around each passable passage; and controlling the mobile platform to move along the at least one target passable passage within the area to be explored to search for an available parking space along the target passable passage. Accordingly, the exploration efficiency of the mobile platform moving within the area to be explored to search for an available parking space along the way is improved, so that the mobile platform can find a suitable available parking space more efficiently and quickly.