中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A large-scale dataset for indoor visual localization with high-precision ground truth

文献类型:期刊论文

作者Liu, Yuchen1,2; Gao, Wei1,2; Hu, Zhanyi1,2
刊名INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH
出版日期2021-10-26
页码7
关键词Indoor scene dataset depth completion large scale visual localization point cloud processing
ISSN号0278-3649
DOI10.1177/02783649211052064
通讯作者Gao, Wei(wgao@nlpr.ia.ac.cn)
英文摘要This article presents a challenging new dataset for indoor localization research. We have recorded the whole internal structure of Fengtai Wanda Plaza which is an area of over 15,800 m(2) with a Navvis M6 device. The dataset contains 679 RGB-D panoramas and 2,664 query images collected by three different smartphones. In addition to the data, an aligned 3D point cloud is produced after the elimination of moving objects based on the building floorplan. Furthermore, a method is provided to generate corresponding high-resolution depth images for each panorama. By fixing the smartphones on the device using a specially designed bracket, six-degree-of-freedom camera poses can be calculated precisely. We believe it can give a new benchmark for indoor visual localization and the full dataset can be downloaded from http:// vision.ia.ac.cn/Faculty/wgao/data_code/data_indoor_localizaiton/data_indoor_localization.htm
WOS关键词PLACE RECOGNITION
资助项目National Key R&D Program of China[2016YFB0502002] ; Natural Sciences Foundation of China[61991423] ; Natural Sciences Foundation of China[61872361]
WOS研究方向Robotics
语种英语
WOS记录号WOS:000712322400001
出版者SAGE PUBLICATIONS LTD
资助机构National Key R&D Program of China ; Natural Sciences Foundation of China
源URL[http://ir.ia.ac.cn/handle/173211/46288]  
专题自动化研究所_模式识别国家重点实验室_机器人视觉团队
通讯作者Gao, Wei
作者单位1.Chinese Acad Sci, Inst Automat, NLPR, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Liu, Yuchen,Gao, Wei,Hu, Zhanyi. A large-scale dataset for indoor visual localization with high-precision ground truth[J]. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH,2021:7.
APA Liu, Yuchen,Gao, Wei,&Hu, Zhanyi.(2021).A large-scale dataset for indoor visual localization with high-precision ground truth.INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH,7.
MLA Liu, Yuchen,et al."A large-scale dataset for indoor visual localization with high-precision ground truth".INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2021):7.

入库方式: OAI收割

来源:自动化研究所

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