Autonomous Parking Route Grouping for User-Used Spaces
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing parking position grouping systems may inadvertently group parking positions that are not used by the user with those that are used, leading to inefficiencies and potential safety issues in autonomous parking systems.
Innovation Solution
A control device and method that groups parking positions based on their usage by analyzing route information, identifying overlapping routes, and prioritizing parking positions based on frequency and recent use to optimize parking decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If adjacent parking positions are grouped uniformly, then the grouping process is simple, but parking positions not used by the user may be grouped with those that are used
Solution Approach 1:
The system acquires route information from the vehicle's navigation system and uses this feedback to dynamically group parking positions. By analyzing actual route data and identifying overlapping routes, the system adapts the grouping to match the user's actual parking behavior patterns, ensuring that only frequently used parking positions are grouped together.
Solution Approach 2:
The system changes the grouping parameter from simple spatial adjacency to route overlap degree. By using route information as the basis for grouping and setting a threshold for route overlap, the system transforms the grouping criterion to accurately reflect user usage patterns while maintaining automated operation.
2Reliability
If parking positions are grouped based on route overlap analysis, then parking positions are grouped according to user usage, but the processing complexity increases
Solution Approach 1:
The control device leverages the existing multi-functional navigation system of the vehicle to acquire route information. By reusing the navigation system's route calculation capabilities for both navigation and parking position grouping purposes, the system avoids duplicating functionality and reduces overall system complexity.
Solution Approach 2:
The system uses the vehicle's own navigation data and route information to perform the grouping analysis. By self-service using internally generated route data and automatically identifying overlapping routes, the system eliminates the need for external databases or manual input, reducing processing complexity while maintaining high accuracy.
Data Source
AI summary
A control device for controlling a vehicle to be parked at a predetermined parking position, the control device includes: an acquisition unit configured to acquire route information capable of identifying a route to each of parking positions; a processing unit configured to group two or more parking positions with routes at least partially overlapping each other based on the route information; and a control unit configured to cause the vehicle to move toward the grouped two or more parking positions.