Road Surface Mapping With Re-Sampling for High-Speed Vehicles
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Solution Overview
Problem
Conventional road surface information producing apparatuses face challenges in accurately generating road surface information maps at high vehicle speeds due to infrequent sampling, leading to gaps in data collection and reduced accuracy of sub-sectional road surface displacement correlating values.
Innovation Solution
The apparatus re-samples and interpolates data to ensure that road surface displacement correlating values are stored for each sub-section, using vehicle speed and sampling time intervals to adjust sampling distances and increase the number of data points, thereby improving data accuracy and completeness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is sampled at a constant sampling time interval, then the sampling process is simple and efficient, but the distance between adjacent sampling positions becomes longer at high vehicle speeds, causing gaps in data collection for certain sub-sections
Solution Approach 1:
The patent applies dynamics by making the sampling interval adaptive rather than fixed. The control device dynamically adjusts the sampling interval based on vehicle speed: at higher speeds, it shortens the time interval to maintain adequate spatial resolution, while at lower speeds, it can extend the interval. This dynamic adjustment ensures consistent data density across varying operating conditions, resolving the contradiction between collection efficiency and measurement accuracy.
2Productivity
If the vehicle speed increases, then the productivity of data collection increases, but the distance between sampling positions increases, leading to insufficient data points for accurate sub-sectional averaging
Solution Approach 1:
The system dynamically adjusts the sampling frequency based on detected vehicle speed. When speed increases, the control device decreases the sampling time interval to compensate for the increased distance traveled between samples. This ensures that the number of sampling points per sub-section remains sufficient for accurate averaging, maintaining manufacturing precision while accommodating higher productivity requirements.
Solution Approach 2:
The patent changes the sampling parameter (time interval) based on the operating condition (vehicle speed). By making the sampling interval a variable parameter rather than a constant, the system optimizes the balance between data collection rate and measurement accuracy for each specific operating condition, resolving the contradiction between productivity and precision.
3Device complexity
If the sampling frequency is kept constant, then the system operation is simple, but the number of data points per sub-section decreases at high speeds, reducing the accuracy of average value calculation
Solution Approach 1:
The control device implements dynamic sampling frequency adjustment based on vehicle speed detection. This adds moderate complexity to the control logic but significantly improves measurement precision by ensuring adequate data points per sub-section across all speed ranges. The dynamic approach is simpler than alternative solutions because it uses a single speed-dependent adjustment rule rather than multiple complex sensors or processing systems.
Data Source
AI summary
The cloud includes a server and a storage device. The storage device includes a road surface information map. When a first sampling distance is equal to or longer than a first distance threshold, the server performs re-sampling to interpolate data in such a manner that sampling positions located at a second sampling distance and unsprung mass member displacements of the respective sampling positions exist so as to produce re-sampled data-for-producing-map. The server stores a sub-sectional unsprung mass displacement in a storage area corresponding to a sub-section of the road surface information map, based on the re-sampled data-for-producing-map.