一种面向复杂场景的设备轨迹实时重规划方法及系统

By constructing a real-time scene environment and simulating device movement, identifying conflict points, and combining device status and task priority for trajectory replanning, the collision and congestion problems of traditional path planning algorithms in complex dynamic scenes are solved, improving device accessibility and task completion efficiency.

CN121900488BActive Publication Date: 2026-07-17SHANGHAI HENGZE FUHUI INTELLIGENT TECHNOLOGY CO LTD +1

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHANGHAI HENGZE FUHUI INTELLIGENT TECHNOLOGY CO LTD
Filing Date
2026-03-25
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Traditional path planning algorithms struggle to handle unexpected dynamic obstacles in complex and dynamic scenarios, leading to collisions and congestion. They also lack effective online feedback and replanning mechanisms, failing to meet real-time requirements.

Method used

By constructing a real-time scene environment, identifying feasible areas and simulating the movement of equipment, identifying conflict points, and combining equipment status and task priority for trajectory replanning, a model predictive control algorithm is used for real-time adjustment.

Benefits of technology

It improves the device's mobility and task completion efficiency in complex environments, reduces the probability of collisions between the device and dynamic obstacles and other devices, and optimizes its passability in crowded and narrow scenarios.

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Abstract

本申请涉及设备轨迹实时规划技术领域,公开了一种面向复杂场景的设备轨迹实时重规划方法及系统,包括:根据预获取的场景环境数据和设备状态数据,分析场景障碍物和设备运动过程,构建实时场景环境;响应于设备移动任务,以设备实时位置为起点,在实时场景环境中筛选出可行区域规划移动轨迹,得到第一移动轨迹;分别将每个设备当前位置作为中心,识别出设备之间轨迹冲突的区域,分析冲突位置的设备移动意图,对第一移动轨迹进行重规划,得到第二移动轨迹;控制每个设备的移动过程;本申请能够有效处理动态障碍物、狭窄通道、多设备等高复杂性场景,提高设备在复杂环境中的通行性和任务完成效率。
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