• ISSN: 1674-7461
  • CN: 11-5823/TU
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2023, 15(4): 7-13. doi: 10.16670/j.cnki.cn11-5823/tu.2023.04.02

面向DeepTag系统的室内视觉导航标记可用性研究

1. 

华中科技大学 土木与水利工程学院,武汉 430074

2. 

中设数字技术股份有限公司,北京 100043

通讯作者: 陈维亚,

网络出版日期: 2023-08-30

作者简介: 陈柯宇(1996-),男,硕士,主要研究方向:建筑生成式设计

基金项目: 国家科技冬奥重点研发计划“京张高铁智能化服务关键技术与示范” 2020YFF0304100

Research On The Usability of Indoor Visual Navigation Markets for DeepTag System

1. 

Huazhong University of Science and Technology, School of of Civil and Hydraulic Engineering, Wuhan 430074, China

2. 

Zhongshe Digital Technology Co., Ltd., Beijing 100043, China

Corresponding author: Weiya Chen,

Available Online: 2023-08-30

引用本文: 陈柯宇, 石磊, 叶丽思, 杨朝宇, 陈浪, 陈维亚. 面向DeepTag系统的室内视觉导航标记可用性研究[J]. 土木建筑工程信息技术, 2023, 15(4): 7-13. doi: 10.16670/j.cnki.cn11-5823/tu.2023.04.02

Citation: Keyu Chen, Lei Shi, Lisi Ye, Chaoyu Yang, Lang Chen, Weiya Chen. Research On The Usability of Indoor Visual Navigation Markets for DeepTag System[J]. Journal of Information Technologyin Civil Engineering and Architecture, 2023, 15(4): 7-13. doi: 10.16670/j.cnki.cn11-5823/tu.2023.04.02

摘要:为了帮助室内移动端计算机视觉导航快速且精确定位,本文对基于DeepTag系统在室内场景下的使用,不同基准标记的可用性进行了评估。通过对DeepTag系统定位原理的研究以及对传统基准标记在室内实际应用场景下的识别准确性进行测试,根据实验结果得出ArUco标记是张贴在室内场景的墙壁上以及DeepTag系统适用效果最佳的基准标记类型,从而为未来基于计算机视觉的室内环境AR导航增强技术提供参考。

关键词: DeepTag, AR, 基准标记, 导航
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面向DeepTag系统的室内视觉导航标记可用性研究

陈柯宇, 石磊, 叶丽思, 杨朝宇, 陈浪, 陈维亚

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