Autonomous Driving Control System MRM Activation
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Solution Overview
Problem
Current autonomous driving systems lack effective fail/safe mechanisms, particularly in level 4 autonomous vehicles, where sensor and actuator failures can lead to critical situations, and human drivers may not recognize the deactivation of autonomous driving systems, posing risks.
Innovation Solution
A method and device for controlling autonomous driving that includes detecting critical situations, requesting control handover to a human driver, and activating a minimal risk maneuver (MRM) mode if handover is unsuccessful, maintaining the deactivated state until engine restart, with timer-driven deceleration and driver-assisting function deactivation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the autonomous driving system is automatically turned off when a critical situation is detected, then the safety of the vehicle is improved, but the human driver may not recognize the turn off and continue to rely on the autonomous system, creating a hazard
Solution Approach 1:
The system performs preliminary actions by first notifying the driver through multiple channels (visual, audible, haptic) before deactivating the autonomous driving system. This sequence ensures the driver is aware of the deactivation before it occurs, preventing the hazard of unconscious system shutdown
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring driver response to deactivation notifications and providing multiple escalating alerts. The feedback loop ensures the driver receives confirmation that the system has been deactivated or is about to be deactivated, maintaining driver awareness throughout the process
2Device complexity
If the autonomous driving system provides only simple fail/safe functions, then the system complexity is reduced, but the ability to handle critical situations effectively is insufficient
Solution Approach 1:
The fail/safe function is segmented into multiple distinct components: critical situation detection, driver notification subsystem, and controlled deactivation. Each segment handles a specific aspect of the fail/safe process, allowing the system to manage complexity through modular design while maintaining comprehensive critical situation handling capability
Solution Approach 2:
The system employs dynamic response strategies that adapt to the specific critical situation detected. Different notification methods and deactivation sequences are applied based on the nature and severity of the situation, allowing the system to handle diverse critical scenarios effectively without requiring overly complex predefined rules for every possible case
Data Source
AI summary
A method for controlling autonomous driving in an autonomous vehicle includes detecting an autonomous driving-related critical situation during the autonomous driving, outputting a notification message requesting a control-right handover from an autonomous driving system to a human driver when the autonomous driving-related critical situation is detected, and activating a minimal risk maneuver (MRM) driving mode to deactivate the autonomous driving system when the control-right handover is not successful. In particular, when the minimal risk maneuver (MRM) driving mode is activated, the deactivated state of the autonomous driving system is maintained until an engine-restart of the autonomous vehicle is detected.