Road Surface Characterization Using Noise Cancellation Filter Coefficients
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Solution Overview
Problem
Existing vehicle systems fail to effectively determine road surface types and profiles using filter coefficients from noise cancellation systems, which limits their ability to adjust vehicle operations optimally based on road conditions.
Innovation Solution
A system and method that utilize filter coefficients from noise cancellation systems to determine road surface types by processing data through a filter coefficient monitoring module, road surface profile module, and look-up table, allowing for adjustments in vehicle operating parameters such as brake application, body mount adjustment, or active filter modification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If filter coefficients from noise cancellation systems are used to determine road surface types, then the vehicle's ability to adapt to road conditions is enhanced, but the system complexity increases due to additional processing modules
Solution Approach 1:
The noise cancellation system's filter coefficients are repurposed to serve dual functions: noise cancellation and road surface characterization. The filter coefficient monitoring module extracts road surface information from existing noise cancellation data, allowing one system to perform multiple functions without adding separate dedicated sensors or processing systems for road surface detection.
Solution Approach 2:
The system uses its own internal noise cancellation processing data to characterize road surfaces, rather than requiring external or separate measurement systems. The filter coefficients generated for noise cancellation automatically contain information about road surface types, which the system extracts and utilizes for its own adaptive control functions.
2Reliability
If real-time road surface determination is implemented, then vehicle operation safety and comfort are improved, but processing time and computational load increase
Solution Approach 1:
The system continuously monitors and processes filter coefficients in real-time as they are generated by the noise cancellation system, rather than waiting for separate measurement cycles. The filter coefficient monitoring module continuously extracts road surface information from the ongoing noise cancellation processing, enabling immediate road surface characterization without additional processing delays.
Solution Approach 2:
The filter coefficient monitoring module acts as an intermediary that extracts road surface information from the noise cancellation processing data without requiring separate measurement systems or additional processing time. It intermediates between the existing noise cancellation system and the road surface determination function, utilizing already-available data.
3Measurement precision
If filter coefficient data is processed through multiple modules including look-up tables, then road surface determination accuracy is improved, but device complexity increases
Solution Approach 1:
Road surface profiles are pre-calculated and stored in look-up tables during system initialization or offline processing. When the vehicle encounters similar road conditions, the system quickly matches filter coefficient patterns against these pre-computed profiles, avoiding the need to perform complex calculations in real-time and reducing online processing complexity while maintaining high accuracy.
Solution Approach 2:
Instead of performing complex road surface analysis calculations in real-time, the system creates simplified representations or copies of road surface characteristics stored in look-up tables. These pre-computed profiles serve as reference copies that can be quickly matched against current filter coefficient data, providing accurate road surface determination with minimal processing complexity.
Data Source
AI summary
A system that determines a road surface profile based upon filter coefficient data from noise cancellation systems is disclosed. The system includes a filter coefficient monitoring module that is configured to receive a first set of filter coefficient data from an noise cancellation module. The system also includes a road surface profile module that is configured to receive an input representing a road surface type and generate a road surface profile based upon the road surface type and the first set of filter coefficient data and to store the road surface profile including a correspondence between the road surface type and the first set of filter coefficient data.