山西电子技术2024,Issue(5) :82-83,92.

高危场景下ORB-SLAM2稠密地图构建

Dense Map Construction in High Risk Scenarios Based on Improved ORB-SLAM2 Algorithm

叶强胜 代世佳 饶刘维 陈兴文
山西电子技术2024,Issue(5) :82-83,92.

高危场景下ORB-SLAM2稠密地图构建

Dense Map Construction in High Risk Scenarios Based on Improved ORB-SLAM2 Algorithm

叶强胜 1代世佳 1饶刘维 1陈兴文1
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作者信息

  • 1. 大连民族大学信息与通信工程学院,辽宁 大连 116600
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摘要

针对经典视觉ORB-SLAM2 稀疏建图存在精度低、实时性差等现实问题,提出了基于ORB-SLAM2 算法架构的视觉定位与稠密建图算法,并通过部署在Jetson Xavier NX为核心板的嵌入式平台上进行建图精度与实时性验证,可满足高危场景下的清晰完整地图信息的构建需求,便于人们快速摸排风险点、制定救援方案和避免二次事故发生.

Abstract

A visual localization and dense mapping algorithm based on the ORB-SLAM2 algorithm architecture is proposed to address the practical problems of low accuracy and poor real-time performance in sparse mapping of classic visual ORB-SLAM2.The algorithm is deployed on an embedded platform with Jetson Xavier NX as the core board for mapping accuracy and real-time verification,which can meet the construction requirements of clear and complete map information in high-risk scenarios that making it easy for people to quickly identify risk points Devel-op rescue plans and avoid secondary accidents.

关键词

ORB-SLAM2改进/稠密建图/嵌入式平台

Key words

ORB-SLAM2 improvement/dense mapping/embedded platform

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出版年

2024
山西电子技术
山西省电子工业科学研究院 山西省电子学会

山西电子技术

影响因子:0.197
ISSN:1674-4578
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