无人驾驶车辆的换道策略确定方法、设备和存储介质
By acquiring obstacle information and prioritizing obstacles to determine the lane-changing strategy of autonomous vehicles, the safety risks caused by autonomous vehicles only considering traffic flow when changing lanes are solved, thus achieving safer lane-changing decisions.
CN115009280BActive Publication Date: 2026-07-17UISEE TECH BEIJING LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- UISEE TECH BEIJING LTD
- Filing Date
- 2022-06-23
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Autonomous vehicles only consider traffic flow when changing lanes, failing to comprehensively assess driving environment factors, which leads to frequent lane changes and increases safety risks.
Method used
By obtaining obstacle information and priority for a specific lane, the degree of congestion is determined. Based on whether there are obstacles in the current lane that must be avoided, a lane-changing strategy is formulated to avoid aggressive lane changes.
Benefits of technology
This improves the driving safety of autonomous vehicles by comprehensively evaluating multiple factors to determine the optimal lane-changing strategy and reduce unnecessary lane-changing behaviors.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN115009280B_ABST
Abstract
发明实施例公开了一种无人驾驶车辆的换道策略确定方法、设备和存储介质，包括：获取至少两个指定车道的障碍物信息以及优先级，障碍物信息包括障碍物标识、障碍物速度和包裹障碍物四边矩形的角点位置；针对每个指定车道，根据该指定车道的障碍物信息确定该指定车道的拥堵程度；若当前车道上不存在必须要避让的障碍物时，根据每条指定车道的拥堵程度和优先级确定换道策略。通过指定车道的障碍物信息以及优先级确定每条指定车道的拥堵程度，并且具体是根据当前车道必须要避让的障碍物状况，以及每条指定车道的拥堵程度和优先级等多个因素确定换道策略，而不仅仅考虑自车状态，从而避免激进换道，提高了无人驾驶车辆行驶的安全性。
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