Intelligent driving takeover method, device, equipment, medium and program product

CN123025826APending Publication Date: 2026-11-03SHENZHEN BLUEWHALE INTEL-CONNECTIVITY S&T CO LTD
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Patent Information

Application Number
CN202611401593.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-09-10
Publication Date
2026-11-03

AI Technical Summary

Technical Problem

Existing intelligent driving takeover methods are usually based on rule-based and static judgments, which fail to fully integrate and process the driver's state, external environment and vehicle state, resulting in inaccurate judgment of the actual degree of danger and easy misjudgment or over-intervention.

Method used

By quantifying the driver's status, external environment, and vehicle status separately and integrating them in the time dimension, the risk level is comprehensively assessed using a sliding time window. This enables synchronous perception and mutual verification of risks in the three aspects of "people, roads, and vehicles," and allows for dynamic switching between alerts, interventions, or complete takeover.

Benefits of technology

This improved the accuracy of risk identification and timely response, reduced misjudgments and excessive intervention, and ensured the targeted and timely nature of takeover actions.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application relates to the technical field of vehicle control, and provides an intelligent driving takeover method, device, equipment, medium and program product. A user state score is obtained by performing user state evaluation on a control record sequence, an environment risk score is generated by performing collision risk and environment complexity evaluation on an environment detection sequence, a vehicle behavior score is generated by performing driving state anomaly detection on the control record sequence, the environment detection sequence and a motion parameter sequence, the vehicle behavior score, the user state score and the environment risk score are fused into a dangerous driving level through a sliding time window, and vehicle hierarchical takeover control is performed according to the environment detection sequence and the motion parameter sequence through hierarchical takeover rules. The application fuses "person, road and vehicle" signals, identifies a risk accumulation trend earlier, and automatically switches prompting, intervention or complete takeover under different risk degrees, so that the takeover action is more timely and more targeted, and the driving influence caused by misjudgment and excessive intervention is reduced.
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