Sensor Data Integrity via Fusion Filter Consistency
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing sensor systems in motor vehicles lack inherent safety and reliability in signal processing, particularly in safety-critical applications, as they fail to effectively evaluate and ensure the consistency of sensor data from diverse sources, leading to potential errors and inconsistencies.
Innovation Solution
A sensor system with a signal processing device that employs a fusion filter to create a defined fusion data record, including consistency information and confidence measures, using redundancy and uncertainty measures to assess data quality and reliability, and integrates inertial sensors, wheel speed sensors, and satellite navigation for enhanced data processing and error correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If sensor systems use multiple sensor elements with different measurement principles, then measurement coverage and redundancy are improved, but data consistency and reliability deteriorate due to lack of independent evaluation mechanisms
Solution Approach 1:
The patent implements a feedback mechanism where the signal processing device continuously evaluates sensor data consistency and generates integrity information that feeds back into the sensor system. This allows the system to monitor and adjust for inconsistencies in real-time, ensuring reliable data fusion from multiple sensor elements with different measurement principles.
Solution Approach 2:
The signal processing device acts as an intermediary between multiple sensor elements, independently evaluating their output signals and mediating their integration. It produces integrity information that certifies the consistency of fused data, enabling reliable combination of diverse sensor inputs without direct interference between sensor elements.
2Loss of information
If sensor systems collectively evaluate output signals from multiple sensor elements, then information completeness is improved, but inherent safety and error detection capability worsen
Solution Approach 1:
The patent segments the evaluation process into two independent parts: collective evaluation of sensor signals for information completeness, and separate independent evaluation for consistency checking. The signal processing device handles both functions, ensuring that information fusion and safety verification are performed independently without compromising either aspect.
Solution Approach 2:
The sensor system performs self-diagnosis through the signal processing device, which independently evaluates the consistency of sensor data and generates integrity information. This self-service mechanism enables the system to monitor its own reliability and detect errors without external intervention, maintaining inherent safety while achieving information completeness.
3Quantity of substance
If sensor systems integrate multiple sensor information source channels, then data redundancy is improved, but complexity of consistency evaluation worsens
Solution Approach 1:
The signal processing device is designed as a universal component that handles multiple sensor information source channels simultaneously. It performs collective evaluation and independent consistency checking for all channels through unified processing logic, reducing the need for separate evaluation mechanisms for each sensor type and thereby managing complexity despite high data redundancy.
Data Source
AI summary
A sensor system, having sensor elements for sensing at least to some extent different primary measured variables or use different measurement principles. A signal processing device evaluates the sensor signals from the sensor elements at least to some extent collectively and rates the information quality of the sensor signals. The signal processing device further provides a piece of information about the consistency of at least one datum of a physical variable, wherein this datum of the physical variable is calculated, at least to some extent, on the basis of the sensor signals from sensor elements that sense this physical variable directly or from the sensor signals from which it is possible to calculate this physical variable. The information about the consistency of this datum of this physical variable is calculated at least on the basis of the directly or indirectly redundantly present sensor information.