Autonomous Vehicle Recall Management via Capability Adjustment
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Solution Overview
Problem
Autonomous vehicles face challenges in responding to recalls due to their autonomous nature, as existing methods are not adequately equipped to handle the unique requirements of software and hardware updates and safety issues in these advanced systems.
Innovation Solution
A vehicle management module within the autonomous vehicle receives recall messages, adjusts vehicle capabilities, determines a recall response plan based on the affected components, and executes the plan, which may include disabling certain functions, requesting repairs, or alerting the owner, ensuring safe operation until the issue is resolved.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous vehicles implement automated recall response systems, then recall response efficiency and safety are improved, but system complexity increases
Solution Approach 1:
The vehicle management module is segmented into distinct functional components: recall message reception unit, vehicle capability adjustment unit, recall response plan determination unit, and execution unit. Each component handles a specific aspect of the recall process, improving reliability through specialized processing while managing overall system complexity through modular design.
Solution Approach 2:
The system performs preliminary actions by pre-determining recall response plans based on adjusted vehicle capabilities before actual recall execution. This allows the system to prepare safety protocols and operational adjustments in advance, ensuring reliable recall response without requiring complex real-time decision-making during the actual recall event.
2Reliability
If vehicle capabilities are adjusted in response to recalls, then operational safety is improved, but vehicle functionality is reduced
Solution Approach 1:
The vehicle capability adjustment is implemented dynamically rather than statically. The system adjusts capabilities temporarily based on recall conditions and automatically restores them when the recall is resolved. This dynamic approach maintains operational safety during the recall period while preserving full vehicle functionality for normal operations, avoiding permanent functional reduction.
Solution Approach 2:
The system changes operational parameters (capability states) in response to recall conditions. By modifying capability parameters temporarily and restoring them when appropriate, the system ensures operational safety during recalls without permanently reducing vehicle adaptability or versatility. The parameter changes are reversible and condition-based.
3Productivity
If recall response plans are automatically executed, then recall processing speed is improved, but control flexibility is reduced
Solution Approach 1:
The system incorporates feedback mechanisms that monitor recall execution and system state changes. This feedback allows the automated execution process to adapt to actual conditions, maintaining high processing speed while preserving control flexibility. The feedback loop enables the system to adjust execution based on real-time information without requiring manual intervention.
Solution Approach 2:
Recall response plans are determined and prepared in advance based on adjusted vehicle capabilities, but their execution remains controllable. The preliminary determination of response plans enables fast automated execution while maintaining the flexibility to modify or pause execution if needed, balancing speed and control.
Data Source
AI summary
Administering a recall by an autonomous vehicle, including: receiving, by a vehicle management module, a recall message identifying a component of the autonomous vehicle that is subject to the recall; adjusting, by the vehicle management module, a vehicle capability in dependence upon the component of the autonomous vehicle that is subject to the recall; determining, by the vehicle management module, a recall response plan in dependence upon the adjusted vehicle capability; and executing, by the vehicle management module, the recall response plan.