Vehicle Door Lock Control After Autonomous Stop Events
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Solution Overview
Problem
In vehicles executing autonomous traveling control, when the control cannot be continued, existing systems fail to appropriately secure either people or goods, as door locks remain locked obstructing escape routes or leave goods vulnerable to theft.
Innovation Solution
A control device and method that detect whether a person or goods are present in the vehicle after autonomous traveling control ceases, unlocking the door for people and locking it for goods to ensure safety and security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the door lock remains locked after the vehicle is stopped, then the goods are protected from theft, but the escape route of the person in the vehicle is obstructed
Solution Approach 1:
The door lock state is differentiated based on the presence or absence of persons in the vehicle. When a person is detected, the door lock is unlocked to facilitate escape. When no person is present, the door lock remains locked to protect goods. This local quality differentiation resolves the contradiction by applying different lock states to different scenarios.
Solution Approach 2:
The door lock state is dynamically adjusted based on real-time detection of person presence. The control device continuously monitors whether a person is in the vehicle and automatically changes the door lock state accordingly. This dynamic adaptation allows the system to switch between protecting goods and enabling escape based on current conditions.
2Ease of operation
If the door lock is unlocked after the vehicle is stopped, then the escape route is available, but the goods become vulnerable to theft
Solution Approach 1:
The door lock state is differentiated based on the presence or absence of persons in the vehicle. When a person is detected, the door lock is unlocked to facilitate escape. When no person is present, the door lock remains locked to protect goods. This local quality differentiation resolves the contradiction by applying different lock states to different scenarios.
Solution Approach 2:
The control device automatically determines whether to unlock or lock the door based on person detection results, without requiring manual intervention. The system serves itself by autonomously making security decisions based on detected conditions, thereby resolving the contradiction between escape accessibility and goods protection.
3Device complexity
If a single door lock state is used after stopping, then the control logic is simple, but it cannot simultaneously ensure person safety and goods security
Solution Approach 1:
The door lock state is dynamically adjusted based on real-time detection of person presence. The control device continuously monitors whether a person is in the vehicle and automatically changes the door lock state accordingly. This dynamic adaptation allows the system to switch between protecting goods and enabling escape based on current conditions.
Solution Approach 2:
The control device uses feedback from person detection sensors to automatically adjust the door lock state. The detection result feeds back to the control logic, which then determines the appropriate lock state. This feedback mechanism enables the system to adapt to different situations while maintaining relatively simple control logic structure.
Data Source
AI summary
A control device executes the following processes: a first process of detecting that autonomous traveling control is not able to be continued and executing stop control of a vehicle; a second process of determining whether a person is present in the vehicle; and a third process of unlocking a door lock of the vehicle when at least one person is present in the vehicle after the vehicle is stopped by the first process.