Vehicle Route Profile Decoding for Real-Time Road Data Control
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Solution Overview
Problem
Current methods for providing high-precision route profile data in vehicles are inefficient due to the large amount of data required and the inability to collect or use local information in real time, leading to increased vehicle weight and energy consumption.
Innovation Solution
A method that determines first route profile data using vehicle sensors and decodes coded second route profile data based on similarity measures, allowing for efficient data transmission and use in real-time vehicle control systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-precision route profile data is transmitted to the vehicle, then measurement precision is improved, but the quantity of data transmitted increases significantly
Solution Approach 1:
The patent extracts only the essential spectral distribution characteristics from the complete route profile data. Instead of transmitting all raw sensor data, the system identifies and transmits only the spectral distribution function parameters that capture the essential road surface information, significantly reducing data volume while preserving measurement precision.
Solution Approach 2:
The patent transforms the route profile data from spatial domain to spectral domain using Fourier transformation. This parameter change converts complex spatial variations into compact spectral distribution parameters, enabling efficient data transmission while maintaining the ability to reconstruct high-precision route profiles at the receiving end.
2Manufacturing precision
If complete route profile data is stored and transmitted, then manufacturing precision of the data is improved, but the device complexity increases
Solution Approach 1:
The patent creates a simplified spectral representation (copy) of the complete route profile data. Instead of storing and transmitting the full high-resolution spatial data, the system generates a spectral distribution function that serves as a compact copy, containing all essential information needed for accurate route profile reconstruction with much lower data requirements.
3Productivity
If real-time route profile data is processed, then productivity is improved, but the loss of time for data transmission increases
Solution Approach 1:
The patent extracts only the critical spectral distribution parameters from the route profile data for transmission. By identifying and transmitting only these essential parameters rather than complete datasets, the system achieves real-time processing capability while minimizing data transmission time and bandwidth requirements.
Data Source
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AI summary
First route profile data are acquired for a predetermined route segment as a function of data that are acquired by means of a predetermined sensor device (Sen) of a vehicle (20) or of a further vehicle (30), the first route profile data being representative of at least one first local physical road property. Encoded second route profile data that are provided and that at least partly relate to the predetermined route segment are read in, said encoded second route profile data having a spectral distribution and/or a spectral distribution function determined as a function of second route profile data, and the second route profile data being representative of at least one second local physical road property. A degree of similarity between one or more profiles of at least one physical route property and/or spectral distribution function of a physical route property, represented in the first route profile data and the encoded second route profile data, is determined. Depending on the degree of similarity, a decoding information for the encoded second route profile data is determined and, depending on said decoding information, the encoded second route profile data are at least partly decoded and made available.