Vehicle Convenience Control During Autonomous Driving Transitions
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Solution Overview
Problem
Existing vehicle systems lack efficient control mechanisms for convenience devices during autonomous driving transitions, failing to consider external environments and user inputs effectively, which can lead to unsafe or inconvenient operations.
Innovation Solution
A vehicle system equipped with a processor that determines operation modes for convenience devices based on external environment information and user inputs, comparing and adjusting modes to ensure optimal operation, whether transitioning to or from autonomous driving.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the vehicle system automatically controls convenience devices based on external environment information during autonomous driving transitions, then the adaptability to external conditions is improved, but the user control authority deteriorates
Solution Approach 1:
The control system dynamically adjusts the operation mode of convenience devices based on the autonomous driving state. When autonomous driving is active, the system automatically controls devices like lamps and wipers based on external environment sensors. When autonomous driving is inactive, the system switches to manual control mode, allowing user authority to take precedence. This dynamic switching resolves the contradiction by adapting control authority to the current driving context.
Solution Approach 2:
The system changes the control parameter (operation mode) of convenience devices based on the autonomous driving state. The processor determines whether to operate devices in automatic mode (when autonomous driving is active) or manual mode (when inactive), thereby changing the control parameter to balance adaptability and user authority appropriately for each situation.
2Ease of operation
If the vehicle system prioritizes user input for convenience device operation, then the ease of operation is improved, but the reliability in unsafe external conditions deteriorates
Solution Approach 1:
The system continuously monitors external environment information through sensors and provides feedback to the control processor. When unsafe conditions are detected (e.g., darkness requiring lamps, rain requiring wipers), the system overrides manual user settings and automatically adjusts device operation to ensure safety. This feedback mechanism resolves the contradiction by allowing user control normally but intervening when safety is compromised.
Solution Approach 2:
The system takes preliminary action to prevent unsafe conditions by automatically controlling convenience devices based on external environment assessment. Before user input can create unsafe situations, the system pre-establishes safe operation modes based on environmental conditions, thereby preventing potential safety issues while still allowing user control in safe conditions.
3Adaptability or versatility
If the vehicle system switches control modes during autonomous driving transitions, then the adaptability to driving state changes is improved, but the device complexity deteriorates
Solution Approach 1:
The control system merges the autonomous driving state management with convenience device control into a single integrated system. The processor that manages autonomous driving transitions also determines the operation modes of convenience devices, combining multiple control functions into one system rather than using separate independent control systems, thereby reducing overall complexity while maintaining adaptability.
Solution Approach 2:
The control system is designed with multi-functionality, where the same processor and control architecture handle both autonomous driving state transitions and convenience device operation mode determination. This universal approach allows one system to perform multiple functions (driving control and device control) without requiring separate dedicated systems for each function, reducing complexity while improving adaptability.
Data Source
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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 device manipulator; 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.