Automatic Parking Control With Adaptive Feature Map Updates
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Solution Overview
Problem
Existing automatic parking systems fail to account for changes in external environment features due to seasonal changes, time elapse, or weather changes, leading to incorrect parking control.
Innovation Solution
A moving body control device that includes an external environment recognition unit, a reception unit, and a control unit to perform automatic parking based on real-time recognition data, registering and updating features to match environmental changes, using cameras and sonars to adjust parking positions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If automatic parking control is performed based on stored feature information, then parking automation is achieved, but the system fails when environmental features change due to seasonal changes, time elapse, or weather changes
Solution Approach 1:
The system dynamically updates the registered feature map by comparing newly acquired recognition data with stored feature information. When changes in the external environment are detected (such as seasonal changes, time elapse, or weather changes), the system automatically refreshes the feature map to maintain accuracy. This dynamic update mechanism ensures the parking control system adapts to environmental changes while maintaining automation.
Solution Approach 2:
The system employs feedback by comparing recognition data acquired at different times and updating the registered feature map based on detected changes. The control unit continuously monitors environmental features and adjusts the stored information accordingly, creating a closed-loop system that maintains reliability despite environmental variations.
2Productivity
If feature information is stored in memory for automatic parking, then parking speed is improved, but the system cannot recognize the parking space when features change
Solution Approach 1:
The system performs preliminary actions by acquiring and storing recognition data in advance to create a registered feature map. This pre-stored information enables fast automatic parking execution. However, the system also periodically updates this pre-stored information to prevent information degradation, thus maintaining both speed and accuracy.
Solution Approach 2:
The system changes the parameters of the stored feature information by updating the registered feature map with newly acquired recognition data. This parameter update mechanism ensures that the stored information remains current and accurate, preventing information loss while maintaining quick parking execution.
3Device complexity
If the system uses fixed feature information for parking control, then system complexity is reduced, but adaptability to environmental changes deteriorates
Solution Approach 1:
The system provides self-service by automatically updating its own feature map using recognition data acquired from the external environment. The control unit autonomously compares new recognition data with stored features and performs updates without requiring external intervention, thus maintaining simplicity while achieving adaptability.
Solution Approach 2:
The registered feature map serves multiple functions: it enables fast automatic parking execution, adapts to environmental changes, and provides a basis for continuous system improvement. This multi-functionality allows the system to maintain low complexity while achieving high adaptability through the versatile feature map.
Data Source
AI summary
A moving body control device includes: an external environment recognition unit, a reception unit, and a control unit. The control unit registers a feature related to a designated parking position based on recognition data of an external environment of a moving body as a registered feature, and performs an automatic parking control for parking the moving body at the designated parking position based on the recognition data and the registered feature. The control unit updates the registered feature according to a matching rate between a feature obtained based on the recognition data of the external environment during execution of the automatic parking control and the registered feature, and a matching rate between an illuminance of the external environment obtained based on the recognition data of the external environment during execution of the automatic parking control and an illuminance associated with the registered feature.