Method, system and vehicle for forced lane change by adjacent vehicle in extreme scenario

By identifying the extreme lane-changing intentions of vehicles in the adjacent lane and implementing differentiated risk avoidance strategies, combined with multi-system collaborative operation, the problem of risk avoidance decision failure in extreme scenarios in existing technologies has been solved, thereby improving the vehicle's active safety performance and occupant protection capabilities.

CN122416784APending Publication Date: 2026-07-17CHINA FAW CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA FAW CO LTD
Filing Date
2026-03-30
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies are unable to effectively address the danger of vehicles forcibly changing lanes in extreme scenarios, leading to failure of hazard avoidance decisions, loss of vehicle control, and lack of occupant protection, and failing to achieve the linkage between active hazard avoidance and occupant protection.

Method used

By acquiring multi-dimensional parameters, the system identifies extreme lane-changing intentions of vehicles in adjacent lanes, executes differentiated risk avoidance strategies, including steering avoidance, braking and occupant protection coordination strategies, combines environmental perception data to determine safety space classification, and triggers active risk avoidance processes under extreme conditions to achieve multi-system coordinated operation.

Benefits of technology

It enables accurate identification and differentiated risk avoidance decisions in extreme scenarios, improves the vehicle's active safety performance, reduces the risk of secondary accidents, and ensures occupant protection and vehicle stability.

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Abstract

本发明公开了极端场景下旁道车强行变道避险方法、系统和车辆,方法包括:获取多维度参数;根据所述多维度参数进行量化判定,以识别旁道车辆强行变道的极端意图;当识别出所述极端意图且满足预设的强制触发条件时,则进入主动避险流程;当识别出所述极端意图,且不满足预设的强制触发条件,或者满足预设的禁止触发条件,则不进入主动避险流程。本发明的方法实现了从极端场景精准识别、差异化避险决策、多系统协同执行、人机交互协同到避险终止与优化的完整闭环,有效解决了现有技术在旁道车强行变道场景下被动防御、场景适配性差、次生事故风险高、人机冲突严重等问题,显著提升了智能驾驶车辆的主动安全性能。本发明主要用于车辆技术领域。
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