运输车定位方法、装置、计算机设备及可读存储介质

By acquiring the point cloud information and geometric parameter information of the transport vehicle, and using a clustering algorithm to determine the cluster of contact points of the transport vehicle, the problem of high computational load and hardware configuration requirements in the existing technology for transport vehicle positioning is solved, and fast and accurate transport vehicle positioning is achieved, thereby improving transportation efficiency.

CN115810044BActive Publication Date: 2026-07-17SF TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SF TECH CO LTD
Filing Date
2021-09-14
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies for locating transport vehicles in automated sites require high computational loads and high hardware configurations, which affects the widespread application of transport vehicle positioning and necessitates the addition of mechanical limit devices to ensure accurate positioning.

Method used

By acquiring the point cloud information and geometric parameter information of the transport vehicle, clustering algorithms are used to determine the contact point clusters of the transport vehicle. Combined with the geometric parameter information and positional relationship information, the accurate position of the transport vehicle is calculated, thus avoiding reliance on mechanical limiting devices.

Benefits of technology

It enables fast and accurate positioning of transport vehicles, improves transportation efficiency, reduces the need for hardware configuration, and simplifies the positioning process.

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Abstract

本申请提供一种运输车定位方法、装置、计算机设备及可读存储介质,方法包括:获取待识别区域中待定位运输车的点云信息;获取所述待定位运输车的几何参数信息;根据所述几何参数信息对所述点云信息进行聚类,得到所述待定位运输车的接触点聚类簇;根据所述几何参数信息和所述接触点聚类簇,确定所述待定位运输车的运输车位置。采用本方法,不需要对运输处需要增加机械限位装置,即可快速准确确定运输车的位置,提高运输效率。
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