Vehicle Control Device Sensor Failure Mode Transition
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Solution Overview
Problem
Existing vehicle control systems for automatic driving fail to appropriately manage vehicle control when abnormalities occur in sensors required for automatic driving, leading to inadequate control in such scenarios.
Innovation Solution
A vehicle control device and method that includes a configuration with multiple controllers and sensors, such as cameras, radar, and LIDAR, which recognize sensor degradation or failure and adjust driving modes to ensure safety by transitioning to manual driving or assistance modes, utilizing the remaining functional sensors to maintain control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If the vehicle control system relies on automatic driving control with sensors, then driving automation is improved, but safety is worsened when sensor abnormalities occur
Solution Approach 1:
The control execution unit continuously monitors sensor operation states and feeds this information back to adjust driving modes. When sensor abnormalities are detected, the system automatically transitions from automatic driving mode to manual driving mode, ensuring safety while maintaining automation benefits during normal operation.
Solution Approach 2:
The system dynamically adjusts the driving mode based on real-time sensor status. The driving mode is not fixed but changes adaptively between automatic and manual modes depending on sensor health, allowing the system to optimize both automation and safety under different conditions.
2Productivity
If the vehicle control system maintains automatic driving mode despite sensor abnormalities, then productivity is improved, but reliability is worsened
Solution Approach 1:
The system dynamically switches between automatic and manual driving modes based on sensor abnormality detection. This allows the vehicle to maintain operational continuity (productivity) while adapting the control mode to ensure safety under degraded sensor conditions.
Solution Approach 2:
The system changes the operational parameter (driving mode) from automatic to manual when sensor abnormalities occur. This parameter change allows the vehicle to continue operating (maintaining productivity) while adjusting the control level to compensate for sensor degradation and maintain safety.
3Reliability
If the vehicle control system switches to manual driving mode upon sensor abnormality, then safety is improved, but ease of operation is worsened
Solution Approach 1:
The system provides feedback to the driver about sensor abnormalities and automatically transitions to manual mode when needed. This feedback mechanism ensures the driver is informed of the situation, reducing the surprise factor and allowing for smoother transition to manual operation.
Solution Approach 2:
The system performs preliminary detection of sensor abnormalities and prepares for mode transition before critical failures occur. By detecting issues early and transitioning proactively, the system reduces the sudden burden on the driver compared to reactive responses to critical failures.
Data Source
AI summary
Provided is a vehicle control device configured to: recognize a surrounding situation of a vehicle; control steering and acceleration/deceleration of the vehicle; detect operation states of a plurality of external recognition sensors; determine a driving mode of the vehicle as any one of a plurality of driving modes including a first driving mode, a second driving mode, and a third driving mode; change the third driving mode to either one of the first driving mode and the second driving mode when determining that a failure has occurred in one of the plurality of external recognition sensors that implement: a function of causing the vehicle to follow a preceding vehicle; and a function of assisting the vehicle in keeping a lane; and change the third driving mode to the second driving mode when determining that degradation in performance has occurred in one of the plurality of external recognition sensors.