一种港口用重卡车辆在狭窄环境下的路径规划方法及系统

By improving the TEB algorithm and using a path planning method with multi-dimensional constraints, the path planning problem of heavy trucks in the narrow environment of ports was solved, achieving safe and smooth path planning and efficient space utilization, and improving the planning accuracy and formation operation efficiency in narrow scenarios.

CN122149519BActive Publication Date: 2026-07-17JIANGSU DALUOTOU ZHIJIA TECH CO LTD +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
JIANGSU DALUOTOU ZHIJIA TECH CO LTD
Filing Date
2026-05-06
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing path planning for heavy-duty trucks in narrow port environments suffers from poor adaptability, easy failure of obstacle constraints, insufficient planning accuracy, and low space utilization. In particular, it is difficult to achieve safe and smooth path planning in narrow scenarios.

Method used

An improved time-elastic band (TEB) algorithm is adopted, which combines multi-dimensional driving constraints to obtain road boundary and obstacle information in real time. The vehicle pose is adjusted through graph optimization to generate a collision-free and smooth planning trajectory. The calculation of obstacle constraint residuals is improved to avoid constraint failure.

Benefits of technology

It enables safe and smooth path planning in narrow environments, improves planning accuracy and space utilization, avoids vehicle breakdowns and road congestion, and improves the efficiency of heavy truck platooning operations at ports.

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Abstract

本发明涉及自动驾驶技术领域,具体涉及一种港口用重卡车辆在狭窄环境下的路径规划方法及系统,该方法包括:港口自卸式重型卡车沿预设参考线循迹行驶,实时获取港口道路边界、障碍物信息与车辆自身位姿数据;当检测到障碍物对当前参考线存在通行干扰时,触发路径精细调整功能;基于改进的时间弹性带TEB算法,在多维度行驶约束条件下对受干扰的参考线航点位姿进行优化调整,生成待验证规划轨迹;对生成的待验证规划轨迹进行碰撞检测与曲率检测,根据检测结果完成有效轨迹输出或循环优化,优化失败时触发停车保护机制。本发明通过改进TEB算法的障碍物边残差计算方式,实现了港口狭窄直道和弯道场景下重型卡车高效的路径规划,保障运输效率。
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