Data acquisition system and method
By building a high-dimensional state space of vehicle status and road conditions characteristics, dynamically adjusting the data acquisition frequency, and combining the grayscale map driving mechanism, the problems of insufficient data accuracy and system real-time impact in the existing technology are solved, and more efficient, stable and accurate data acquisition is achieved.
CN119904930AActive Publication Date: 2025-04-29NAN JING BA MING DIAN ZI KE JI YOU XIAN GONG SI
Patent Information
- Application Number
- CN202510407026.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-02
- Publication Date
- 2025-04-29
- Estimated Expiration
- 2045-04-02
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Figure CN119904930A_ABST
Abstract
The invention discloses a data acquisition system and method, and relates to the technical field of data acquisition. Comprising the following steps: constructing a three-dimensional state space based on a vehicle state, and mapping a real-time vehicle state into a vehicle state code; collecting road condition features to construct a road condition feature matrix; carrying out dimension reduction on the vehicle state coding vector to obtain a two-dimensional vector, and carrying out Kronecker product operation on the two-dimensional vector and the road condition feature matrix to generate a strategy matrix; after singular value decomposition is carried out on the strategy matrix, the first n principal components are reserved, a compression strategy vector is formed, and the collection frequency is dynamically confirmed; and carrying out linear mapping on the strategy matrix element value to generate a gray scale map, and determining the adjustment amplitude of the acquisition frequency by using the change trend of the gray scale value. The timeliness, stability and precision of the data acquisition system are improved, and more efficient and reliable data support is provided for the field of intelligent traffic systems and automatic driving.
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Citation Information
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