Vehicle Convenience Device Control During Autonomous Mode Transfer
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Solution Overview
Problem
Existing vehicle systems lack effective control mechanisms for convenience devices during autonomous driving transitions, failing to consider external environments and user inputs, which can lead to unsafe or inconvenient operations.
Innovation Solution
A vehicle system that includes a processor to determine operation modes for convenience devices based on external environment information and user inputs, comparing and switching between modes to ensure optimal operation during autonomous driving state changes, including activation, control transfer, and deactivation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the convenience device operation mode is determined solely based on external environment information during autonomous driving state conversion, then the device can adapt to environmental conditions, but user control preferences and manual inputs are ignored leading to potential inconvenience
Solution Approach 1:
The system merges environmental sensing data with user input signals to determine the final operation mode of convenience devices. The controller integrates both automatic mode (based on environment) and manual mode (based on user input) signals, combining their advantages to control lamp and wiper operations, ensuring both environmental adaptability and user control are satisfied simultaneously
Solution Approach 2:
The system implements feedback mechanisms where the controller continuously monitors both environmental conditions and user input states, adjusting the convenience device operation mode dynamically. When user input changes or environmental conditions change, the system receives feedback and recalculates the appropriate operation mode, ensuring real-time adaptability while respecting user preferences
2Ease of operation
If the convenience device operation mode is determined solely based on user input during autonomous driving state conversion, then user preferences are prioritized, but environmental conditions may not be properly addressed leading to unsafe operations
Solution Approach 1:
The system performs preliminary environmental assessment through sensor devices before allowing user-controlled operation modes to take effect. When autonomous driving state conversion occurs, the controller first evaluates environmental conditions (lighting, weather) and then determines whether user inputs should be honored or overridden, ensuring environmental safety is checked in advance before executing user preferences
Solution Approach 2:
The system implements preliminary anti-action by preparing override mechanisms that can counteract inappropriate user inputs based on environmental conditions. If environmental sensors detect conditions that would make user-selected operation modes unsafe (e.g., user selects off-mode for lamps when it's dark), the system pre-prevents such unsafe operations by automatically adjusting the mode despite user input
3Adaptability or versatility
If the system compares and switches between first operation mode (environment-based) and second operation mode (user-input-based) during autonomous driving state conversion, then both environmental adaptation and user control are satisfied, but the control logic becomes more complex
Solution Approach 1:
The control logic is segmented into distinct functional modules: an environmental sensing module that processes sensor data to determine first operation mode, a user input processing module that captures manual inputs for second operation mode, and a mode comparison/decision module that selects between the two modes. This segmentation reduces overall system complexity by dividing the complex control logic into manageable, independent components with clear interfaces
Data Source
AI summary
A vehicle and a method for controlling a body thereof are provided. The vehicle may include a processor, and non-transitory memory storing instructions executed by the processor. The processor may be configured to determine a first operation mode of a convenience device based on external environment information obtained by a sensor device when converting to an autonomous driving state; determine a second operation mode of the convenience device based on an input of a convenience devicemanipulator; compare the first operation mode with the second operation mode; and control the convenience device in the first operation mode or the second operation mode based on a comparison result.