Autonomous Driving Recovery Logic After Emergency Braking
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Solution Overview
Problem
Autonomous vehicles often return to previous driving modes after emergency braking without resolving underlying vehicle events, degrading safety due to sensor contamination or malfunction, or device failures.
Innovation Solution
A device and method that include a processor to predict collision risks, perform emergency braking, store vehicle events, and transition to a minimum risk maneuver mode when the risk is resolved, ensuring safety by maintaining braking or changing lanes to a shoulder if the collision risk is not resolved.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the autonomous vehicle returns to the previous driving mode after emergency braking, then the productivity is improved, but the reliability deteriorates due to unresolved vehicle events
Solution Approach 1:
The system performs preliminary actions by storing vehicle events and checking their resolution status before allowing transition back to autonomous driving mode. The processor checks whether the vehicle event is resolved before returning to the previous driving mode, ensuring safety is not compromised while maintaining productivity.
2Reliability
If the vehicle transitions to minimum risk maneuver mode to resolve vehicle events, then the reliability is improved, but the productivity deteriorates due to extended braking or lane changes
Solution Approach 1:
The system dynamically adjusts the driving mode based on the resolution status of vehicle events. When a vehicle event occurs, the system transitions to minimum risk maneuver mode; when the event is resolved, it transitions back to autonomous driving mode. This dynamic adaptation ensures safety while minimizing the impact on productivity.
3Reliability
If the system checks for vehicle events after emergency braking, then the reliability is improved, but the device complexity increases
Solution Approach 1:
The processor performs multiple functions: it detects collision risks, controls emergency braking, stores vehicle events, checks event resolution status, and manages driving mode transitions. By making the processor multi-functional, the system improves reliability without significantly increasing device complexity, as the same core component handles multiple tasks.
Data Source
AI summary
A device for controlling driving of a vehicle includes a sensor for acquiring state information of the vehicle during autonomous driving, a processor that performs emergency braking when a risk of collision of the vehicle is predicted based on the obtained state information of the vehicle, stores a vehicle event when the vehicle event occurs after the emergency braking is performed, and transitions to a driving mode for resolving the vehicle event when the risk of collision is resolved, and storage for storing an algorithm for an operation of the processor.