Mixed-mode driving system for autonomous vehicle mode transitions
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Solution Overview
Problem
Current vehicle systems lack the ability to efficiently transition between autonomous and manual driving modes based on real-time information about vehicle occupants, their preferences, and environmental conditions, potentially compromising safety and efficiency.
Innovation Solution
A mixed-mode driving system that automatically adjusts the driving mode of a vehicle between autonomous, manual, paused, or disabled modes in response to updated information about occupants, their preferences, and environmental conditions, using sensors and data sources to determine the optimal mode for safety and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the vehicle operates in autonomous driving mode to maximize efficiency, then productivity is improved, but safety may be compromised when occupants require manual intervention or have specific preferences
Solution Approach 1:
The system continuously monitors updated information from sensors and data sources about occupants, vehicle conditions, and environment, then automatically adjusts driving mode based on this feedback. This closed-loop control ensures the vehicle responds dynamically to changing conditions while maintaining safety and efficiency.
Solution Approach 2:
The driving mode is made dynamic rather than static, allowing automatic transitions between autonomous, manual, paused, and disabled modes based on real-time conditions. This enables the system to adapt its operation mode flexibly in response to occupant needs, safety requirements, and environmental factors.
2Reliability
If the system automatically transitions between driving modes based on real-time information, then safety is improved, but device complexity increases due to multiple sensors and control mechanisms
Solution Approach 1:
The mixed-mode driving system integrates multiple functions into a unified control architecture that handles autonomous driving, manual intervention, mode transitions, and safety monitoring through a single coordinated system rather than separate independent systems, reducing overall complexity.
Solution Approach 2:
The system introduces a mode transition controller as an intermediary that manages the complex interactions between sensors, occupants, and driving modes. This mediator component simplifies the control architecture by centralizing the decision-making logic for mode transitions.
3Reliability
If the vehicle requires manual driving mode for certain conditions, then safety is maintained, but productivity decreases due to reduced autonomous operation time
Solution Approach 1:
The system applies autonomous driving capabilities partially rather than completely, allowing manual mode intervention when necessary while maintaining autonomous operation for the majority of appropriate conditions. This partial application of autonomy optimizes the balance between safety and productivity.
Data Source
AI summary
Among other things, a vehicle having autonomous driving capabilities is operated in a mixed driving mode.