一种基于物联网的汽车驾驶行为数据采集方法
By aligning and differentially resampling vehicle driving behavior data, control ownership labels and trust labels are generated, solving the problems of data dilution and cloud post-processing in existing technologies, and achieving efficient data collection and transmission.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ZHEJIANG UNIV
- Filing Date
- 2026-05-08
- Publication Date
- 2026-07-17
AI Technical Summary
Existing vehicle driving behavior data collection solutions struggle to perform high-density sampling around control switching points in scenarios where manual driving and assisted driving frequently switch, resulting in data dilution during critical periods. Furthermore, cloud-based post-processing prevents data packets from being synchronously output with standardized and trustworthy labels, failing to meet the requirements of real-time performance, completeness, and traceability.
By acquiring multi-source driving behavior data and aligning it with a time reference, identifying control switching, performing differentiated resampling and standardized encapsulation, generating control ownership labels and collection credibility labels, and realizing real-time generation of data packets and priority decision-making.
It improves the temporal resolution and semantic integrity of driving behavior data during critical periods, reduces reliance on cloud-based scrubbing, enhances the real-time performance and autonomy of the data collection process, and ensures the reliability and efficiency of data packets.
Smart Images
Figure CN122160416B_ABST