Vehicle Software Update Control Based on Recognition Accuracy
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Solution Overview
Problem
Existing software update systems for travel assistance and automated driving in vehicles unconditionally restrict functions if the software is not up-to-date, even if the update is not necessary, leading to inefficient resource allocation and potential safety issues.
Innovation Solution
An information processing device and method that includes a recognition unit to assess the necessity of software updates based on situational data, and a software update control unit to manage updates only when necessary, ensuring that only required updates are applied, thereby optimizing resource usage and ensuring safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If software is updated unconditionally when not the latest version, then software reliability is improved, but resource allocation efficiency deteriorates due to unnecessary updates
Solution Approach 1:
The patent changes the parameter of software update decision from a binary latest-version check to a multi-dimensional assessment including recognition accuracy metrics, situational context, and update necessity evaluation. This allows updates to be triggered only when recognition accuracy deteriorates or specific safety-critical situations arise, rather than on every version change.
Solution Approach 2:
The system implements feedback mechanisms where recognition results are continuously monitored and fed back to the update decision module. When recognition accuracy falls below thresholds or specific unsafe situations are detected, this feedback triggers targeted software updates. This creates a closed-loop system that updates software based on actual performance needs rather than predetermined version schedules.
2Loss of energy
If software updates are restricted when not the latest version, then resource allocation efficiency is improved, but safety deteriorates due to potential missed critical updates
Solution Approach 1:
The patent introduces new parameters for update decision-making including recognition accuracy thresholds, situational context variables, and safety-criticality weights. These parameters transform the update decision from a simple version comparison to a nuanced assessment that identifies when updates are truly necessary for safety while avoiding unnecessary resource consumption.
Solution Approach 2:
The system performs preliminary assessment of update necessity by evaluating recognition accuracy and situational context before triggering updates. This preliminary action filters out unnecessary updates while ensuring that safety-critical updates are identified and applied promptly, balancing resource efficiency with safety requirements.
3Object-affected harmful factors
If functions are restricted unconditionally without updates, then safety is improved by preventing outdated software use, but productivity deteriorates due to unnecessary function limitations
Solution Approach 1:
The patent applies local quality by implementing selective function restriction rather than blanket limitations. Only specific functions related to deteriorated recognition accuracy or safety-critical issues are restricted, while other non-affected functions continue to operate normally. This localized approach maintains productivity for safe operations while ensuring safety for critical functions.
Solution Approach 2:
The system dynamically adjusts function availability based on real-time recognition accuracy and situational context. Functions are not statically restricted but adaptively enabled or disabled based on current software performance and operational needs. This dynamic approach ensures safety when necessary while maximizing productivity when software performs adequately.
Data Source
AI summary
The present technology relates to an information processing device, an information processing method, and an information processing system capable of appropriately updating software used for travel assistance or automated driving of a mobile body.An information processing device includes: a recognition unit that performs recognition processing of a situation around a mobile body on the basis of sensor data regarding the situation around the mobile body; and a software update control unit that controls update of software used for travel assistance or automated driving of the mobile body on the basis of a recognition result of the recognition processing. The present technology can be applied to, for example, a vehicle that performs automated driving.