Vehicle Sensor Recognition Comparison for Degradation Diagnosis
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Solution Overview
Problem
Existing technologies can detect sensor breakdowns but fail to diagnose sensor degradation, leading to potential safety risks in self-driving systems as degraded sensors continue to affect recognition accuracy.
Innovation Solution
An information processing system and method that compares recognition results from multiple vehicle sensors to evaluate sensor performance degradation, using a testing site to accumulate and analyze recognition data for confidence and accuracy thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensor breakdown detection technology is used, then sensor failures can be avoided, but sensor degradation cannot be detected
Solution Approach 1:
The system performs preliminary actions by accumulating recognition results over time and comparing current results with historical data before complete sensor failure occurs. This allows early detection of degradation trends through temporal comparison, enabling preventive maintenance before the sensor fully fails.
Solution Approach 2:
The system implements feedback by continuously comparing recognition results with accumulated historical data and providing feedback on sensor performance degradation. This closed-loop approach allows the system to monitor sensor health over time and trigger alerts when degradation exceeds thresholds, bridging the gap between failure detection and degradation monitoring.
2Measurement precision
If results from multiple sensors are integrated, then recognition accuracy is maintained, but individual sensor degradation becomes undetectable
Solution Approach 1:
The system applies segmentation by separately evaluating each sensor's recognition results independently while maintaining the integrated multi-sensor system. Each sensor's performance is assessed individually against historical data, allowing degradation detection without compromising the overall integrated recognition accuracy.
Solution Approach 2:
The system uses an intermediary approach by introducing a comparison mechanism that mediates between individual sensor outputs and historical accumulation data. This intermediary evaluation layer enables independent sensor assessment while preserving the benefits of multi-sensor integration for overall recognition accuracy.
3Productivity
If degraded sensor data is used, then continuous operation is maintained, but safety is compromised
Solution Approach 1:
The system applies dynamics by making the sensor evaluation process adaptive and dynamic rather than static. Degradation thresholds and evaluation criteria are updated based on accumulated historical data, allowing the system to dynamically adjust to changing sensor performance while maintaining continuous operation and safety.
Solution Approach 2:
The system uses feedback to continuously monitor sensor degradation and provide alerts when safety thresholds are approached. This enables continuous operation while maintaining safety through real-time monitoring and warning mechanisms that trigger before critical failure occurs.
Data Source
AI summary
Provided are an information processing system, an information processing method, and an information processing apparatus that are capable of diagnosing sensor degradation. A recognition result of a predetermined recognition target based on results of sensing performed by a plurality of sensors mounted in a vehicle is acquired, the acquired recognition result is compared with another recognition result different from the acquired recognition result so that a comparison result is output, and performance degradation of each sensor is evaluated on the basis of the comparison result.