Sensor Data Plausibility Checking via Intermediary Processing
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Solution Overview
Problem
Existing driver assistance systems face challenges in verifying the reliability of sensor data, leading to complex and costly redundant sensor designs, which can result in disabling safety-related functionalities due to unreliable data.
Innovation Solution
A system comprising processing, plausibility checking, and monitoring modules processes sensor data using algorithms to calculate quality indicators, allowing for reliable plausibility checking without redundant sensors, thereby reducing technical complexity and enabling continuous monitoring of sensor data reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If redundant sensors are used to verify sensor data reliability, then system reliability is improved, but device complexity and installation costs increase
Solution Approach 1:
The patent introduces a plausibility checking module as an intermediary component that verifies sensor data without requiring redundant sensors. This module processes sensor data through multiple processing algorithms and evaluates plausibility based on predefined criteria, thereby maintaining system reliability while avoiding the complexity of redundant sensor installations
Solution Approach 2:
The patent replaces the mechanical/redundant sensor approach with an information-processing-based plausibility checking system. Instead of using additional physical sensors to verify data, the system uses software-based processing algorithms and logical evaluation to assess sensor data reliability, thereby reducing hardware complexity
2Reliability
If redundant sensors are deployed for plausibility checking, then sensor data verification is improved, but installation costs increase
Solution Approach 1:
The patent creates virtual copies of sensor data processing paths through multiple processing algorithms rather than physical copies of sensors. The plausibility checking module processes the same sensor data through different computational approaches and compares results, achieving verification without the cost of additional physical sensors
Solution Approach 2:
The system performs self-verification by using its own processing capabilities to evaluate sensor data plausibility. The plausibility checking module autonomously analyzes sensor data using predefined criteria and processing algorithms, eliminating the need for external redundant sensors and associated installation costs
Data Source
AI summary
A device, a sensor arrangement, a system and a method are provided for checking the plausibility of sensor data. The plausibility of the results of processing of sensor data is checked with an independent module by an alternative verification method at each stage, and quality indicators are calculated for the reliability of the calculated data from this plausibility check, which can be taken into account during further processing.

