Navigation system for logistics inspection robots based on the fusion of visual and multi-line LiDAR sensors

ZHOU Kaiquan; LI Dexian; ZHANG Xiaheng

Chinese

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Navigation system for logistics inspection robots based on the fusion of visual and multi-line LiDAR sensors

Design & Manufacture | 更新时间：2026-01-22

- Navigation system for logistics inspection robots based on the fusion of visual and multi-line LiDAR sensors
- Vol. 45, Issue 1, Pages: 121-125(2026)
- 作者机构：
  
  1. 苏州旅游与财经高等职业技术学校(苏州旅游职业学院) 商贸系,江苏,苏州,215104
  2. 辽宁师范大学教育学部,辽宁,大连,116000
  3. 西北政法大学商学院,陕西,西安,710122
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP212;TP393
- Published：2026
- 稿件说明：
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ZHOU Kaiquan, LI Dexian, ZHANG Xiaheng. Navigation system for logistics inspection robots based on the fusion of visual and multi-line LiDAR sensors[J]. 2026, 45(1): 121-125.
DOI：

ZHOU Kaiquan, LI Dexian, ZHANG Xiaheng. Navigation system for logistics inspection robots based on the fusion of visual and multi-line LiDAR sensors[J]. 2026, 45(1): 121-125. DOI：

摘要

为了可靠地实现物流机器人在复杂物流仓储环境下的自主导航和巡航功能，提出了一种基于视觉和多线激光雷达(LiDAR)信息融合的新型机器人导航系统，既能保证信息的丰富和地图边缘的精确，又能满足复杂物流仓储场景下的实时准确定位和导航。仿真和实际验证表明，该机器人导航系统具有可行性和鲁棒性，克服了移动机器人系统在复杂环境下精度低、鲁棒性差、可移植性弱、难以扩展等问题。为实际物流仓储场景的检测提供了一种新的思路，具有良好的应用前景。

Abstract

To reliably enable autonomous navigation and patrol functions of logistics robots in complex logistics and warehousing environments

a novel robot navigation system based on the fusion of visual and multi-line LiDAR information is proposed.This system ensures abundant information and precise map edges

and meets the requirements of real-time

accurate positioning and navigation in complex logistics and warehousing scenarios.Simulation and practical verification demonstrate the feasibility and robustness of this robotic navigation system

overcoming the challenges of low precision

poor robustness

weak portability

and poor scalability inherent in mobile robot systems operating in complex environments.This system provides a new approach to detection in real-world logistics and warehousing scenarios and holds great promise for future applications.

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