Automated Driving Level Control for Chip Thermal Pre-Abnormality
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Solution Overview
Problem
In vehicle automated driving, there is a risk that thermal runaway due to heat generated by image recognition chips can lead to abnormalities in the system, affecting the continuation of automated driving.
Innovation Solution
An information processing device with a driving control unit, a state determination unit, and a level determination unit is used to assess the state of the automated driving system and determine whether to shift or maintain the automated driving level based on driver response when a preliminary state of system abnormality is detected.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated driving is continued at high level despite preliminary abnormality state, then productivity is maintained, but reliability deteriorates due to potential system failure
Solution Approach 1:
The system performs preliminary detection of abnormality states before actual system failure occurs. The state determination unit identifies preliminary states where abnormalities are likely to occur, enabling proactive level adjustment before thermal runaway or complete system failure happens, thus maintaining reliability while allowing continued operation.
Solution Approach 2:
The automated driving level is made dynamic and adjustable based on real-time system state. The level determination unit continuously monitors system state and adjusts the automated driving level accordingly - maintaining high levels when safe, shifting to lower levels when preliminary abnormalities are detected, thereby dynamically balancing productivity and reliability.
2Reliability
If automated driving level is shifted down in response to preliminary abnormality, then reliability is improved, but productivity deteriorates due to reduced automation
Solution Approach 1:
The system applies partial action by shifting to a lower automated driving level rather than completely disabling automated driving. This partial reduction in automation level provides sufficient safety margin while maintaining some degree of automated operation, avoiding complete loss of productivity while ensuring reliability.
Solution Approach 2:
The system implements continuous feedback monitoring of system state and driver response. The level determination unit receives feedback from the state determination unit about preliminary abnormality states and from driver responses, continuously adjusting the automated driving level to optimize the balance between reliability and productivity based on real-time conditions.
3Reliability
If system monitoring and level adjustment mechanisms are added, then reliability is improved, but device complexity increases
Solution Approach 1:
The state determination unit and level determination unit are designed to perform multiple functions. These units not only detect preliminary abnormality states but also integrate driver response information and automatically determine appropriate level adjustments, consolidating multiple safety and control functions into unified components to minimize added complexity.
Solution Approach 2:
The system implements self-service through automatic level adjustment based on detected abnormality states. Once the state determination unit identifies a preliminary abnormality, the level determination unit automatically determines and executes the appropriate level shift without requiring complex external intervention systems, enabling the system to self-regulate its own operational level.
Data Source
AI summary
The present technology relates to an information processing device, an information processing method, and a vehicle control system that enable more suitable continuation of automated driving.A driving control unit is configured to control automated driving of a vehicle, a state determination unit is configured to determine, on the basis of state information indicating a state of a system for the automated driving, whether or not the system is in a preliminary state where there is a high probability that an abnormality will occur in the system, and a level determination unit is configured to determine whether to shift or maintain an automated driving level on the basis of a response from a driver in a case where the system is determined to be in the preliminary state. The present technology is applicable to, for example, an image recognition chip that performs object recognition for automated driving.