Route Profile Data Compression via Fourier Spectral Analysis
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Solution Overview
Problem
Current methods for processing route profile data are inefficient in representing local physical properties of roadways, leading to extensive data sets that are difficult to transmit and process effectively.
Innovation Solution
A method that determines a spectral distribution of route profile data using Fourier analysis, assigning it to position information, allowing for compact data representation and transmission, and enabling applications in vehicle dynamics control and driver assistance systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If route profile data representing local physical roadway properties are processed using conventional methods, then complete representation of roadway properties is achieved, but data sets become extremely extensive and difficult to transmit and process
Solution Approach 1:
The patent transforms route profile data from spatial domain representation to frequency domain representation using Fourier transformation. This parameter change in the mathematical domain allows the same information to be expressed more compactly, reducing data volume while preserving the complete representation of local physical roadway properties through spectral coefficients
Solution Approach 2:
The patent extracts the essential characteristics of route profile data by identifying and retaining only the significant spectral components through thresholding. By removing redundant or negligible frequency components, the method achieves compact data representation while maintaining the critical information needed to represent local physical properties
2Quantity of substance
If spectral distribution is determined using Fourier transformation, then data are brought into compact form, but processing complexity increases
Solution Approach 1:
The patent performs preliminary segmentation of the route profile into smaller segments before applying Fourier transformation to each segment. This preliminary action reduces the computational complexity of the transformation by working with smaller data sets, while still achieving overall compact representation when the segments are processed and combined
Solution Approach 2:
The patent divides the complete route profile into multiple smaller segments and applies spectral analysis to each segment independently. This segmentation approach reduces the computational burden of Fourier transformation compared to processing the entire route profile as a single large data set, while maintaining representation accuracy through localized analysis
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables efficient transmission and processing of route profile data, improving vehicle comfort and safety by accounting for local physical properties, and optimizing vehicle behavior and design.
Implementation Method 1
The spectral distribution is determined in particular by way of a time-discrete Fourier analysis, in particular by use of a Fourier transformation. Fourier transformation here denotes in summary a method of Fourier analysis which allows continuous, aperiodic signals to be decomposed into a continuous spectrum.
Data Source
AI summary
In a method for processing data of a route profile, which represent local physical roadway properties of a route segment, position information is determined, which is representative of a global position of the route segment. Route profile data are determined, which are representative of local physical roadway properties of the route segment. A spectral distribution is determined in dependence on the route profile data, with regard to a quantity that represents location information. The spectral distribution is associated with the position information.